Last updated: 2024/10/22
🔥🔥🔥 Medical Dataset is very important for Medical Image Analysis. In this repository, we provide an up-to-date list of medical datasets.
📖 Contents
| Dataset | Description | Official Website | Release Date | Challenge |
|---|---|---|---|---|
| CT-ORG | 3D CT, 140 Cases, 6 Categories of Organ Segmentation | Github | 2020 | - |
| AutoPET | 3D PET-CT, 1214 Cases, 1 Category of Whole Body Tumor Segmentation | Grand Challenge, Grand Challenge | 2022-04 | MICCAI'2022 & 2023 |
| TotalSegmentator | 3D CT, 1204 Cases, 104 Categories of Whole Body Organ Segmentation | Github | 2022-07 | - |
| NAFLD | 2D Pathological Imaging, 119828 Cases, 16 Categories of Pathological Imaging Classification | Project Homepage | 2022-10 | - |
| TotalSegmentator V2 | 3D CT, 1228 Cases, 117 Categories of Whole Body Organ Segmentation | Github | 2023 | - |
| ULS | 3D CT, 38842 Cases, 1 Category of Whole Body Tumor Segmentation | Grand Challenge | 2023-10 | - |
| TotalSegmentator MRI | 3D MR, 298 Cases, 56 Categories of Whole Body Organ Segmentation | Github | 2024-05 | - |
| MedFMC | 2D, 22349 Cases, 5 Tasks of Disease Classification | Github | 2023-09 | - |
| Dataset | Description | Official Website | Release Date | Challenge |
|---|---|---|---|---|
| L2R-OASIS | 3D MRI, 416 Cases, 35 Categories of Brain Segmentation and Registration | Grand Challenge | 2007 | - |
| MSseg08 | 3D MRI, 51 Cases, 1 Category of Multiple Sclerosis Lesion Segmentation | Project Homepage | 2008 | MICCAI'2008 |
| MRBrains13 | 3D MR: T1, T1IR, FLAIR 320 Cases, 3 Categories of Brain Region Segmentation | Project Homepage | 2013 | - |
| DDTI | 2D Ultrasound, 637 Cases, 1 Category of Thyroid Nodule Segmentation | Project Homepage | 2015-01 | - |
| Ultrasound Nerve Segmentation | 2D Ultrasound, 11143 Cases, 1 Category of Cervical Nerve Segmentation | Kaggle | 2016-05 | Kaggle |
| BraTS-TCGA-LGG | 3D MRI, 65 Cases, 3 Categories of Low Grade Glioma (LGG) Segmentation | TCIA | 2017 | BRATS2015 |
| BraTS-TCGA-GBM | 3D MRI, 102 Cases, 3 Categories of Glioblastoma Multiforme (GBM) Segmentation | TCIA | 2017 | BRATS2015 |
| PDDCA | 3D CT, 48 Cases, 9 Categories of Head and Neck Organs Segmentation | Project Homepage | 2017-03 | - |
| BraTS18 | 3D MRI, 285 Cases, 3 Categories of Brain Tumor Segmentation | Project Homepage | 2018 | MICCAI'2018 |
| ZuCo | 2D NLP, 146909 Cases, 3 Categories of EEG (electroencephalography) Sampling in Reading | Project Homepage | 2018-07 | - |
| iSeg | 3D MRI, 13 Cases, 3 Categories of Brain Tissue Segmentation | Project Homepage | 2019 | MICCAI'2017 & 2019 |
| StructSeg2019 Task1 | 3D CT, 50 Cases, 22 Categories of Head and Neck Organs Segmentation | Grand Challenge | 2019 | MICCAI'2019 |
| StructSeg2019 Task2 | 3D CT, 50 Cases, 1 Category of Nasopharyngeal Carcinoma Segmentation | Grand Challenge | 2019 | MICCAI'2019 |
| MSD Brain | 3D mpMR, 484 Cases, 3 Categories of Glioma Segmentation | MSD | 2019-02 | Medical Segmentation Decathlon |
| MSD Hippocampus | 3D MRI, 394 Cases, 2 Categories of Hippocampus Segmentation | MSD | 2019-02 | Medical Segmentation Decathlon |
| Head CT-hemorrhage | 2D CT, 200 Cases, 2 Categories of Cerebral Hemorrhage Classification | Kaggle | 2019-09 | - |
| WMH | 3D MRI, 170 Cases, 1 Category of White Matter Hyperintensity Segmentation | Project Homepage | 2019-11 | - |
| TN-SCUI2020 | 2D Ultrasound, 4554 Cases, 1 Category of Thyroid Nodule Segmentation | Grand Challenge | 2020-05 | MICCAI'2020 |
| AAPM-RT-MAC | 3D MRI, 55 Cases, 8 Categories of Parotid Gland, Submandibular Gland, and Level 2 and 3 Lymph Nodes Contour Segmentation | TCIA | 2020-07 | - |
| CrossMoDA2021 | 3D T1-CE, T2-HR, 349 Cases, 2 Categories of Tumor and Cochlear Structure Segmentation | Grand Challenge | 2021-03 | MICCAI'2021 |
| BraTS21 | 3D MRI, 2040 Cases, 3 Categories of Glioma Segmentation | Synapse | 2021-07 | RSNA-ASNR-MICCAI'2021 |
| ATLAS v2.0 (ISLES 2022) | 3D MRI, 1271 Cases, 1 Category of Lesions After Stroke Segmentation | Grand Challenge | 2021-12 | MICCAI'2022 |
| FeTA 2022 | 3D MRI, 280 Cases, 7 Categories of Infant Brain Tissue Segmentation | Grand Challenge | 2021 | MICCAI'2021 & 2022 |
| BrainPTM | 3D MR-T1, MR-DWI, 75 Cases, 1 Category of White Matter Tract Mapping and Segmentation | Grand Challenge | 2021 | |
| cSeg 2022 | 3D MRI, 13 Cases, 3 Categories of Brain Tissue Segmentation | Project Homepage | 2022-04 | MICCAI'2022 |
| HECKTOR | 3D PET-CT, 882 Cases, 2 Categories of Tumor and Lymph Node | Grand Challenge | 2022-06 | MICCAI'2022 |
| INSTANCE 2022 | 3D CT, 200 Cases, 1 Category of Intracranial Hemorrhage Segmentation | Grand Challenge | 2022-04 | MICCAI'2022 |
| ISLES22 | 3D MRI, 400 Cases, 1 Category of Ischemic Stroke Lesion Segmentation | Grand Challenge | 2022-05 | MICCAI'2022 |
| CuRIOUS2022 | 3D Ultrasound, 23 Cases, 1 Category of Brain Tumor (Resection) Segmentation | Grand Challenge | 2022-07 | MICCAI'2022 |
| Teeth3DS | 3D IOS, 1800 Cases, 32 Categories of Teeth Segmentation | Github | 2022-10 | MICCAI'2022 |
| TN3K | 2D Ultrasound, 3494 Cases, 1 Category of Thyroid Nodule Segmentation | Github | 2021-05 | ISBI'2021 |
| TG3K | 2D Ultrasound, 3585 Cases, 1 Category of Thyroid Nodule Segmentation | Github | 2022-12 | ISBI'2021 |
| HaN-Seg | 3D CT & MRI, 42 Cases, 30 Categories of Head and Neck Organs-at-Risk Segmentation | Grand Challenge | 2023-01 | - |
| SMILE-UHURA 2023 | 3D 7T High Resoulution MRI, 14 Cases, 1 Category of Cerebral Artery Segmentation | Synapse | 2023-03 | ISBI'2023 |
| ToothFairy | 3D CBCT, 443 Cases, 1 Category of Inferior Alveolar Nerve Segmentation | Grand Challenge | 2023-03 | MICCAI'2023 |
| SegRap 2023 | 3D CT, 200 Cases, 47 Categories of Head and Neck Organs-at-Risk Segmentation | Grand Challenge | 2023-04 | MICCAI'2023 |
| CAS2023 | 3D MRI, 100 Cases, 1 Category of Cerebral Artery Segmentation | CodaLab | 2023-04 | MICCAI'2023 |
| CrossMoDA 2023 | 3D MRI, 983 Cases, 3 Categories of Vestibular Schwannoma (VS) and Cochlea Segmentation | Project Homepage | 2023-04 | MICCAI'2023 |
| UCSF-PDGM | 3D MR, 501 Cases, 4 Categories of Diffuse Glioma Segmentation | TCIA | 2023-04 | - |
| IvyGAP-Radiomics | 3D MRI, 31 Cases, 3 Categories of Glioblastoma Segmentation | TCIA | 2023-04 | - |
| BraTS2023-SSA | 3D MRI, 105 Cases, 3 Categories of Glioma Segmentation in Africa | Synapse | 2023-05 | ASNR-MICCAI'BRATS2023 |
| BraTS2023-MEN | 3D MRI, 1650 Cases, 3 Categories of Meningioma Segmentation | Synapse | 2023-05 | ASNR-MICCAI'BRATS2023 |
| BraTS2023-PED | 3D MRI, 228 Cases, 3 Categories of Pediatrics Glioma Segmentation | Synapse | 2023-05 | ASNR-MICCAI'BRATS2023 |
| BraTS2023-MET | 3D MRI, 328 Cases, 3 Categories of Brain Metastasis Segmentation | Synapse | 2023-06 | ASNR-MICCAI'BRATS2023 |
| BONBID-HIE | 3D MRI, 133 Cases, 1 Category of Hypoxic-Ischemic Encephalopathy (HIE) Lesion Segmentation | Grand Challenge | 2023-06 | MICCAI'2023 |
| RHUH-GBM | 3D MR, 120 Cases, 3 Categories of Glioblastoma Segmentation | Project Homepage | 2023-06 | - |
| MICCAI'2024 INSTED | 3D MR, 191 Cases, 3 Categories of Stroke Segmentation | Codabench | 2024-01 | MICCAI'2024 |
| MICCAI'2024 EPVS | 2D/3D MRI, 220 Cases, 1 Category of Enlarged Perivascular Spaces Segmentation | Synapse | 2024-05 | MICCAI'2024 |
| MICCAI 2024 LISA 2024 Task2 | 3D MRI, 63 Cases, 2 Categories of Hippocampus Segmentation | Synapse | 2024-05 | MICCAI'2024 |
| MMIS-2024@ACM MM 2024 | 4D MRI, 310 Cases, 2 Categories of Diversified and Personalized Gross Tumor Volume Segmentation | Project Homepage | 2024-07 | MM'2024 |
| Dataset | Description | Official Website | Release Date | Challenge |
|---|---|---|---|---|
| jsrt-directions | 2D X-Ray, 988 Cases, 4 Categories of X-ray Direction Classification | Project Homepage | 2000-01 | - |
| CRASS12 | 2D X-Ray, 284 Cases, 1 Category of Clavicle Segmentation | Grand Challenge | 2012-12 | - |
| QIBA-VolCT-1B | 3D CT, 323 Cases, 1 Categories of Lung Tumor Segmentation and Lesion Size Measurement | TCIA | 2015 | - |
| MIAS | 2D X-ray, 322 Cases, 7 Categories of Breast Lesions Classification | Kaggle | 2015 | - |
| LUNA16 | 3D CT, 888 Cases, 1 Category of Lung Nodule Detection | Grand Challenge | 2016-03 | LUNA16 |
| Breast Ultrasound Dataset B | 2D Ultrasound, 163 Cases, 1 Category of Breast Lesions Detection | Project Homepage | 2018-06 | - |
| FUMPE | 3D CT, 35 Cases, 1 Category of Pulmonary Embolism (PE) Segmentation | Figshare | 2018-09 | - |
| StructSeg2019 Task3 | 3D CT, 50 Cases, 6 Categories of Lung Cancer Radiotherapy Organs-at-Risk Segmentation | Grand Challenge | 2019 | MICCAI'2019 |
| StructSeg2019 Task4 | 3D CT, 50 Cases, 1 Category of Organ-at-risk Fractionation for Radiotherapy for Lung Cancer Segmentation | Grand Challenge | 2019 | MICCAI'2019 |
| SegTHOR | 3D CT, 60 Cases, 4 Categories of Thoracic Organs at Risk Segmentation | CodaLab | 2019-01 | ISBI'2019 |
| MSD Lung Tumours | 3D CT, 96 Cases, 1 Category of Lung Tumor Segmentation | MSD | 2019-02 | Medical Segmentation Decathlon |
| LNDb | 3D CT, 294 Cases, 1 Category of Lung Nodule Segmentation | Grand Challenge | 2019-11 | ICIAR'2020 |
| BUSI | 3D Ultrasound, 780 Cases, 3 Categories of Breast Tumor Segmentation | Project Homepage | 2019-11 | - |
| PleThora | 3D CT, 402 Cases, 2 Categories of Pleural Effusion and Thoracic Segmentation | TCIA | 2020-04 | - |
| SARS-COV-2 Ct-Scan | 2D CT, 2482 Cases, 2 Categories of Pneumonia Classification | Kaggle | 2020-05 | - |
| COVID_CT_COVID-CT | 2D CT, 746 Cases, 2 Categories of Pneumonia Classification | Tianchi | 2020-06 | - |
| COVIDGR | 2D X-Ray, 852 Cases, 2 Categories Pneumonia Classification | Github | 2020-12 | - |
| CMMD | 2D X-ray, 5334 Cases, 2 Categories of Breast Cancer Classification | TCIA | 2021 | - |
| COVID-19 CHEST X-RAY DATABASE | 2D X-ray, 3886 Cases, 3 Categories of Pneumonia Classification | Project Homepage | 2021-01 | - |
| Chest CT-Scan images | 2D CT, 1000 Cases, 4 Categories of Lung Tumor Classification | Tianchi | 2021-03 | - |
| COVID-19-CT SCAN IMAGES | 2D CT, 1400 Cases, 2 Categories of Pneumonia Classification | Tianchi | 2021-03 | - |
| Chest X-ray PD Dataset | 2D X-Ray, 4575 Cases, 3 Categories of Pneumonia Classification | Project Homepage | 2021-04 | - |
| Shenzhen chest X-ray set | 2D X-Ray, 662 cases, 2 Categories of Tuberculosis Classification | NIH | 2021-06 | - |
| ISPY1-Tumor-SEG-Radiomics | 3D MRI, 483 Cases, 1 Category of Breast Tumors Segmentation | TCIA | 2022-06 | - |
| Chest X-Ray Imaging_(Pneumonia) | 2D X-ray, 5856 Cases, 2 Categories of Pneumonia Classification | Project Homepage | 2022-07 | - |
| Parse 2022 | 3D CT, 200 Cases, 1 Category of Pulmonary Artery Segmentation | Grand Challenge | 2022-04 | MICCAI'2022 |
| ATM22 | 3D CT, 500 Cases, 1 Category of Lung Airway Segmentation | Grand Challenge | 2022-05 | MICCAI'2022 |
| MVSeg-3DTEE 2023 | 3D Ultrasound, 175 Cases, 2 Categories of Mitral Valve Segmentation | Synapse | 2023 | MICCAI'2023 |
| TDSC-ABUS2023 | 3D Ultrasound, 200 Cases, 1 Category of Breast Tumor Detection, Segmentation and Classification | Grand Challenge | 2023-03 | MICCAI'2023 |
| AIIB23 | 3D CT, 312 Cases, 1 Category of Lung Airway Segmentation | CodaLab | 2023-05 | MICCAI'2023 |
| SEG.A. | 3D CTA, 56 Cases, 1 Category of Aorta Segmentation | Grand Challenge | 2023-05 | MICCAI'2023 |
| LNQ 2023 | 3D CT, 513 Cases, 1 Category of Lymph Node Quantification | Grand Challenge | 2023-05 | MICCAI'2023 |
| Dataset | Description | Official Website | Release Date | Challenge |
|---|---|---|---|---|
| SLIVER07 | 3D CT, 30 Cases, 1 Category of Liver Segmentation | Grand Challenge | 2007 | - |
| NCT-CRC-HE-100K | 2D Pathology, 100,000 Cases, 9 Categories of Colorectal Classification | Zenodo | 2008-04 | - |
| Promise09 | 3D MRI, 15 Cases, 1 Category of Prostate Segmentation | Project Homepage | 2009 | MICCAI'2009 |
| 3D-IRCADB | 3D CT, 22 Cases, 40 Categories of Abdominal Organ and Tumor Segmentation | Project Homepage | 2010 | - |
| VESSEL12 | 3D CT, 20 Cases, 1 Category of Vessel Segmentation | Grand Challenge | 2012-05 | ISBI'2012 |
| BTCV | 3D CT, 50 Cases, 13 Categories of Abdominal Organ Segmentation | Synapse | 2015-04 | MICCAI'2015 |
| BTCV Cervix | 3D CT, 50 Cases, 4 Categories of Abdominal Organ Segmentation | Synapse | 2015-04 | MICCAI'2015 |
| LiTS | 3D CT, 201 Cases, 2 Categories of Liver and Tumor Segmentation | CodaLab | 2017-06 | ISBI'2017, MICCAI'2017 & 2018 |
| MSD Pancreas Tumour | 3D CT, 420 Cases, 2 Categories of Pancreas and Tumour Segmentation | MSD | 2019-02 | Medical Segmentation Decathlon |
| MSD Hepatic Vessel | 3D CT, 443 Cases, 2 Categories Liver Blood vessels and Tumor Segmentation | MSD | 2019-02 | Medical Segmentation Decathlon |
| MSD Spleen | 3D CT, 61 Cases, 1 Category of Spleen Segmentation | MSD | 2019-02 | Medical Segmentation Decathlon |
| MSD Colon Cancer | 3D CT, 190 Cases, 1 Category of Colon Tumor Segmentation | MSD | 2019-02 | Medical Segmentation Decathlon |
| MSD Prostate | 3D MR, 48 Cases, 2 Categories of Prostate Segmentation | MSD | 2019-02 | Medical Segmentation Decathlon |
| Gleason 2019 | 2D Pathology, 331 Cases, 6 Categories of Prostate Cancer Classification | Grand Challenge | 2019 | MICCAI'2019 |
| KiTS19 | 3D CT, 300 Cases, 2 Categories of Kidney and Tumor Segmentation | Grand Challenge | 2019-03 | MICCAI'2019 |
| CHAOS | 3D CT&MRI, 40 Cases, 4 Categories of Abdominal Organ Segmentation | Grand Challenge | 2019-04 | ISBI'2019 |
| Pancreas-CT | 3D Contrast-enhanced CT, 80 Cases, 1 Category of Healthy Pancreas Segmentation | TCIA | 2020 | - |
| QIN-PROSTATE-Repeatability | 3D MR, 30 Cases, 3 Categories of Prostate Segmentation | TCIA | 2020-11 | - |
| KiTS21 | 3D CT, 400 Cases, 3 Categories of Kidney and Tumor Segmentation | Project Homepage | 2021-03 | MICCAI'2021 |
| FLARE 2021 | 3D CT, 511 Cases, 4 Categories of Abdominal Organ Segmentation | Grand Challenge | 2021-05 | MICCAI'2021 |
| AbdomenCT-1K | 3D CT, 1112 Cases, 4 Categories of Abdominal Organ Segmentation | Github | 2021-07 | - |
| QUBIQ2021 | 3D CT, 90 Cases, 2 Categories of Pancreas and Lesions Segmentation | Grand Challenge | 2021-08 | MICCAI'2021 |
| WORD | 3D CT, 150 Cases, 16 Categories of Abdominal Organ Segmentation | Github | 2021-11 | - |
| NuCLS | 2D Pathology, 119828 Cases, Gastric Cancer Pathology Image Classification | Project Homepage | 2022-03 | - |
| FLARE 2023 | 3D CT, 2300 Cases, 13 Categories of Abdominal Organ Segmentation | Grand Challenge | 2022-03 | MICCAI'2022 |
| UW-Madison GI Tract Image Segmentation | 2D MRI, 38496 Cases, 3 Categories of Gastrointestinal Tract Segmentation | Kaggle | 2022-04 | - |
| KiPA22 | 3D CTA, 130 Cases, 4 Categories of Vessel and Tumor Segmentation | Grand Challenge | 2022-04 | MICCAI'2022 |
| AMOS 2022 | 3D CT&MRI, 600 Cases, 15 Categories of Abdominal Organ Segmentation | Grand Challenge | 2022-05 | MICCAI'2022 |
| PI-CAI | 3D MR, 1500 Cases, 1 Category of Prostate Tumor Segmentation | Grand Challenge | 2022-05 | - |
| HCC-TACE-Seg | 3D CT, 628 Cases, 4 Categories of Liver and Liver Tumor Segmentation | TCIA | 2022-08 | - |
| EBHI-Seg | 2D Pathology, 4456 Cases, 6 Categories of Colon Segmentation | Project Homepage | 2023-01 | - |
| LLD-MMRI2023 | 3D MRI, 394 Cases, Liver Lesion Detection | Github | 2023-02 | MICCAI'2023 |
| SPPIN | 3D MRI, 111 Cases, 1 Category of Pediatric Neuroblastoma Segmentation | Grand Challenge | 2023-04 | MICCAI'2023 |
| FLARE 2023 | 3D CT, 4500 Cases, 14 Categories of Abdominal Organ and Tumor Segmentation | CodaLab | 2023-04 | MICCAI'2023 |
| KiTS23 | 3D CT, 599 Cases, 3 Categories of Kidney and Tumor Segmentation | Project Homepage | 2023-04 | MICCAI'2023 |
| ATLAS (MICCAI2023) | 3D CE-MRI, 90 Cases, 2 Categories of Liver and Tumor Segmentation | Grand Challenge | 2023-04 | MICCAI'2023 |
| MOOD2023 | 3D CT&MR, 1300 Cases, Out-of-Distribution Detection | Project Homepage | 2023-04 | MICCAI'2023 |
| MICCAI 2023 PSFHS | 2D Ultrasound, 5101 (4000) Cases, 2 Categories of Fetal Head and Pubic Symphysis (FH-PS) Segmentation | Grand Challenge | 2023-04 | MICCAI'2023 |
| Adrenal-ACC-Ki67-Seg | 3D CT, 57 Cases, 1 Category of Pathologically Confirmed Adrenocortical Carcinoma Segmentation | TCIA | 2023-05 | - |
| AbdomenAtlas 1.0 Mini | 3D CT, 5195 Cases, 9 Categories of Abdominal Organ Segmentation | Github | 2024-02 | - |
| FLARE 2024 Task 1 | 3D CT, 10000 Cases, 1 Category of Whole Body Tumor Segmentation | Codabench | 2024-04 | MICCAI'2024 |
| FLARE 2024 Task 3 | 3D MRI, 4817 Cases, 13 Categories of Abdomen Organs Segmentation | Codabench | 2024-04 | MICCAI'2024 |
| MICCAI 2024 CARE-LiQA | 3D MRI, 250 Cases, 2 Categories of Liver Segmentation and Fibrosis Staging | Project Homepage | 2024-05 | MICCAI'2024 |
| FedSurg | 2D Laparoscopy, 30 Cases, 6 Categories of Laparoscopic Appendectomy | Synapse | 2024-05 | MICCAI'2024 |
| MICCAI-24 ACOUSLIC | 3D Ultrasound, 600 Cases, 3 Categories of Fetal Abdomen Waist Measurement | Grand Challenge | 2024-05 | MICCAI'2024 |
| MICCAI 2024 PENGWIN Task1 | 3D CT, 100 Cases, 3 Categories of Pelvis Segmentation | Grand Challenge | 2024-07 | MICCAI'2024 |
| Dataset | Description | Official Website | Release Date | Challenge |
|---|---|---|---|---|
| ACDC | 3D MRI, 150 Cases, 3 Categories of Left and Right Ventricles and Myocardial Segmentation | Project Homepage | 2017 | MICCAI'2017 |
| MM-WHS | 3D CT/MRI, 120 Cases, 7 Categories of Heart Substructure Segmentation | Github | 2017 | MICCAI'2017 |
| MSD Cardiac | 3D MRI, 30 Cases, 1 Category of Left Atrium Segmentation | MSD | 2019-02 | Medical Segmentation Decathlon |
| M&Ms Cardiac CMR Segmentation | 3D MR, 375 Cases, 3 Categories of Left and right ventricles and myocardial segmentation | Project Homepage | 2020 | MICCAI'2020 |
| EMIDEC | 3D DE-MRI, 150 Cases, 3 Categories of Assessment of Myocardial Infarction Segmentation | Project Homepage | 2020-04 | MICCAI'2020 |
| MyoPS 2020 | 3D MRI, 45 Cases, 5 Categories of Myocardial Pathology Segmentation | Github | 2020-04 | MICCAI'2020 |
| LAScarQS 2022 | 3D MRI, 194 Cases, 2 Categories of Left Atrium and Scar Segmentation | Github | 2022-04 | MICCAI'2022 |
| CMRxMotion | 3D MRI, 360 Cases, 3 Categories of Heart Structure Segmentation | Synapse | 2022-05 | MICCAI'2022 |
| ImageCAS | 3D CTA, 1000 Cases, 1 Category of Coronary Artery Segmentation | Github | 2023 | - |
| CardiacUDA | 2D Ultrasound, 992 Cases, 5 Categories of Heart Structure Segmentation | Github | 2023-09 | - |
| MICCAI 2024 CARE MyoPS++ | 3D CMR, 2741 Cases, 5 Categories of Myocardial Lesion Segmentation | Project Homepage | 2024-05 | MICCAI'2024 |
| MICCAI 2024 CARE WHS++ | 3D CT/CTA, 206 Cases, 1 Category of Whole heart segmentation | Project Homepage | 2024-05 | MICCAI'2024 |
| MICCAI 2024 CARE LAScarQS++ | 3D LGE MRI, 194 Cases, 3 Categories of Left Atrial Cavity Segmentation and Scar Quantification | Project Homepage | 2024-05 | MICCAI'2024 |
| Dataset | Description | Official Website | Release Date | Challenge |
|---|---|---|---|---|
| TCB Challeng | 2D Bone Radiograph, 174Cases, 2 Categories of Osteoporosis Classification | Project Homepage | 2016-08 | - |
| MURA | 2D X-ray, 40561 Cases, 2 Categories of Musculoskeletal Classification | Project Homepage | 2018 | - |
| IVDM3Seg | 3D MRI, 16 Cases, 1 Category of Intervertebral Disc Segmentation | Project Homepage | 2018-09 | MICCAI'2018 |
| Osteosarcoma Tumor Assessment | 2D Pathological Imaging, 1144 Cases, 3 Categories of Tumor after Surgical Resection Classification | TCIA | 2019 | - |
| VerSe | 3D CT, 374 Cases, 26 Categories of Spine Segmentation | Github | 2020-05 | MICCAI'2019 & 2020 |
| RibFrac 2020 | 3D CT, 660 Cases, 4 Categories of Rib Fracture Detection and Classification | Grand Challenge | 2020-06 | MICCAI'2020 |
| Digital Knee X-ray Images | 2D X-Ray, 1650 Cases, 5 Categories of Knee Joint Diseases Classification | Project Homepage | 2020-06 | - |
| CTPelvic1K | 3D CT, 1184 Cases, 4 Categories of Lumbar Spine, Sacrum, Left and Right Hip Segmentation | Github | 2020-12 | - |
| CTSpine1K | 3D CT, 1005 Cases, 25 Categories of Spine Segmentation | Github | 2021-05 | - |
| SPIDER | 3D MR, 544 Cases, 19 Categories of Spine, Intervertebral Disc, Spinal Canal Segmentation | Grand Challenge | 2023-06 | - |
| Fractured Bone Detection | 3D CT, 24 Cases, 2 Categories of 2 Fractures Classification | Kaggle | 2023-06 | - |
| Dataset | Description | Official Website | Release Date | Challenge |
|---|---|---|---|---|
| CVC-ClinicDB | 2D, Endoscopy, 612 Cases, 1 Category of Colon Polyp Segmentation | Grand Challenge | 2015-02 | MICCAI'2015 |
| AIDA-E2 | 2D Endoscopy, 262 Cases, 3 Categories of Digestive Tract Disease Classification | Grand Challenge | 2015-11 | ISBI'2016 |
| Cholec80 Cholecystectomy Surgery Video Dataset | 2D Endoscopy, 370,168 Cases, 14 Categories of Surgical Action Types and Instrument Classification | Github | 2016-02 | - |
| Colonoscopic | 2D Endoscopy, 152 Cases, 3 Categories of Gastrointestinal Lesions Classification | Project Homepage | 2016-09 | - |
| Intel & MobileODT Cervical Cancer Screening | 2D Hysteroscopy, 6733 Cases, 3 Categories of Cervix Image Classification | Kaggle | 2017-03 | - |
| The Nerthus Dataset | 2D Endoscopy, 5525 Cases, 4 Categories of Intestinal Cleansing Levels Classification | Project Homepage | 2017-06 | - |
| Robotic Instrument Segmentation | 2D Endoscopy, 3000 Cases, 4 Categories of Surgical Instruments Segmentation | Grand Challenge | 2017-08 | MICCAI'2017 |
| EAD 2019 | 2D Endoscopy, 2991 Cases, 7 Categories of Esophageal, Colon, Stomach, Bladder, Liver Segmentation | Grand Challenge | 2019-08 | - |
| Kvasir-SEG | 2D Endoscopy, 1160 Cases, 1 Category of Colon Polyp Segmentation | Github | 2019-11 | - |
| SARAS-ESAD | 2D Endoscopy, 33398 Cases, 21 Categories of Surgical Action Recognition | Grand Challenge | 2020-01 | - |
| SUN Colonoscopy Video | 2D Endoscopy, 158,690 Cases, 1 Category of Polyp Segmentation | Project Homepage | 2020-07 | - |
| Sinus Surgery Endoscopic Image Datasets | 2D Rhinoscopy, 9003 Cases, 1 Category of Surgical Instrument Segmentation | Github | 2020-08 | - |
| EndoVisSub2018-RoboticSceneSegmentation | 2D Endoscopy, 7274 Cases, Robotic Surgery Scene Segmentation | Grand Challenge | 2020-08 | MICCAI'2018 |
| EndoSLAM | 2D Endoscopy, 64577 Cases, 3D Reconstruction | Github | 2020-10 | - |
| m2caiseg | 2D Endoscopy, 307 Cases, 19 Categories of Abdominal Organs and Surgical Equipment Segmentation | Kaggle | 2020-12 | MICCAI'2016 |
| CholecSeg8k | 2D Endoscopy, 8080 Cases, 13 Categories of Cholecystectomy Surgery Semantic Segmentation | Kaggle | 2020-12 | - |
| Kvasir-Capsule | 2D Endoscopy, 4741504 Cases, 14 Categories of Digestive Tract Lesion Segmentation | Project Homepage | 2021-05 | - |
| FetReg 2021 Task1 | 2D Fetoscope, 2718 Cases, 3 Categories of Blood vessels, Fetus, Surgical Tools Segmentation | Synapse | 2021-07 | MICCAI'2021 |
| LDPolypVideo | 2D Endoscopy, 861400 Slices, 1 Category of Polyp Detection | Github | 2021-09 | - |
| EndoMapper | 2D Endoscopy Video, 59 Cases, 3D Reconstruction and VSLAM | Synapse | 2022-04 | - |
| CholecT45 Dataset | 2D Endoscopy, 90489 Cases, 128 Categories of Cholecystectomy Surgery Action Recognition | Github | 2022-04 | - |
| Surgical scene segmentation | 2D Endoscopy, 9156 Cases, 32 Categories of Surgery Scene Segmentation | Project Homepage | 2022-09 | - |
| LIMUC | 2D Endoscopy, 11276 Cases, 4 Categories of Mayo Score Classification | Github | 2022-11 | - |
| PitVis | 2D Endoscopy, 120024 Cases, 15 Categories of Workflow Identification in Endoscopic Pituitary Surgery | Project Homepage | 2023 | MICCAI'2023 |
| Endoscopic Bladder Tissue Classification Dataset | 2D Endoscopy, 1754 Cases, 4 Categories of Cystoscopy Tissue Classification | Project Homepage | 2023-03 | - |
| C3VD | 2D Endoscopy, 10015 Cases, 3D Reconstruction | Project Homepage | 2023-08 | - |
| SurgVU24 | 2D Endoscopy, 280 Cases, 12 Categories of Surgical Instruments and 8 Categories of Surgical Tasks Video Timing Positioning | Grand Challenge | 2024-05 | MICCAI'2024 |
| Dataset | Description | Official Website | Release Date | Challenge |
|---|---|---|---|---|
| STARE | 2D Retinal Images, 20 Cases, 1 Category of Fundus Blood Vessels Segmentation | Project Homepage | 2000-03 | - |
| DRIVE | 2D Retinal Images, 40 Cases, 1 Category of Fundus Blood Vessels Segmentation | Grand Challenge | 2004-04 | - |
| CHASE | 2D Retinal Images, 28 Cases, 1 Category of Fundus Blood Vessels Segmentation | Project Homepage | 2011-06 | - |
| DRiDB | 2D Retinal Images, 648 Cases, 3 Categories of Diabetic Retinopathy Classification | Project Homepage | 2013 | - |
| RITE | 2D Retinal Images, 40 Cases, 1 Category of Fundus Blood Vessels Segmentation | Project Homepage | 2013 | - |
| HRF | 2D Retinal Images, 45 Cases, 1 Category of Fundus Blood Vessels Segmentation | Project Homepage | 2013-12 | - |
| Messidor-2 | 2D Retinal Images, 1748 Cases, 2 Categories of Diabetic Retinopathy Classification | Project Homepage | 2013 | - |
| DRISHTI-GS | 2D Retinal Images, 101 Cases, 2 Categories of Optic Cup and Optic Disc Segmentation | Project Homepage | 2014 | - |
| Retinal image quality assessment dataset | 2D Retinal Images, 216 Cases, 3 Categories of Image Quality Evaluation | Project Homepage | 2014-04 | - |
| Retina | 2D Retinal Images, 601 Cases, 4 Categories of Cataracts, Glaucoma Retinopathy | - | 2016 | - |
| Eyepacs | 2D Retinal Images, 35126 Cases, 5 Categories of Diabetic Retinopathy Grading | Project Homepage | 2016 | - |
| RETOUCH | 3D OCT, 112 Cases, 3 Categories of Retinal Fluid Segmentation | Grand Challenge | 2017-04 | MICCAI'2017 |
| LES-AV | 2D Retinal Images, 22 Cases, 1 Category of Fundus Blood Vessels Segmentation | Project Homepage | 2018 | - |
| OCT 2017 | 2D OCT, 35126 Cases, 4 Categories of Eye Disease Classification | Github | 2018 | - |
| Papilledema | 2D Fundus, 1369 Cases, 3 Categories of Papilledema Classification | Project Homepage | 2018 | - |
| REFUGE | 2D Fundus, 1200 Cases, 2 Categories of Glaucoma Classification, 2 Categories of Optic Disc/Cup Segmentation | Grand Challenge | 2018-03 | MICCAI'2018 |
| IDRID | 2D Retinal Images, 81 Cases, 5 Categories of Diabetic Retinopathy Segmentation | Grand Challenge | 2018-07 | ISBI'2018 |
| PALM19 | 2D Retinal Images, 1200 Cases, 1 Category of Fundus Blood Vessels Segmentation | Project Homepage | 2019 | ISBI'2019 |
| ACRIMA | 2D Retinal Images, 705 Cases, 2 Categories of Glaucoma Classification | Project Homepage | 2019-03 | - |
| ROSE | 2D OCT, 229 Cases, 1 Category Fundus Blood Vessels Segmentation | Project Homepage | 2020 | - |
| OCTA-500 | 2D OCT , 500 Cases, 1 Category of Fundus Blood Vessel Segmentation | Project Homepage | 2020-06 | - |
| RIM-ONE DL | 2D Retinal Images, 485 Cases, 2 Categories of Glaucoma Classification and Optic Disc and Optic Cup Segmentation | Github | 2020-06 | - |
| ORVS | 2D Retinal Images, 49 Cases, 1 Category of Fundus Blood Vessels Segmentation | Github | 2020-12 | - |
| JSIEC | 2D Retinal Images, 1000 Cases, 39 Categories of Eye Diseases Classification | Kaggle | 2021 | - |
| Diabetic Retinopathy Arranged | 2D Retinal Images, 35127 Cases, 5 Categories of Diabetic Retinopathy Classification | Project Homepage | 2021-03 | - |
| Augemnted ocular diseases(AOD) | 2D Retinal Images, 14.8k Cases, 7 Categories of Major Eye Diseases Classification | Kaggle | 2021-04 | - |
| BEH (Bangladesh Eye Hospital) | 2D Fundus photograph, 634 Casesm, 2 Categories of Glaucoma Classification | Github | 2021-12 | - |
| iChallenge-ADAM-Task1 | 2D Retinal Images, 800 Cases, 2 Categories of Age-related Macular Degeneration (AMD) Classification | Grand Challenge | 2022 | ISBI'2020 |
| Retinal OCT-C8 | 2D OCT, 24000 Cases, 8 Categories of Retinal Disease Classification | Kaggle | 2022-01 | - |
| RAVIR | 2D Infrared Reflectance Imaging, 46 Cases, 2 Categories of Retinal Arteries and Veins Segmentation | Grand Challenge | 2022-03 | - |
| Multi-Label Retinal Diseases | 2D Retinal Images, 2451 Cases, 20 Categories of Eye Diseases Classification | Mendeley | 2022-07 | - |
| FIVES | 2D Retinal Images, 800 Cases, 1 Category of Fundus Blood Vessels Segmentation | Project Homepage | 2022-08 | - |
| OLIVES | 2D Fundus Color Photography, 412 Cases, 2 Categories of Diabetic Retinopathy Classification | Github | 2022 | NeurIPS'2022 |
| ODIR-5K | 2D Retinal Images, 5000 Cases, 8 Categories of Common Ophthalmic Diseases Classification | Grand Challenge | 2023 | - |
| AIROGS | 2D Fundus, 101442 Cases, 2 Categories of Glaucoma Classification | Grand Challenge | 2023 | - |
| RFMiD 2.0 | 2D Retinal Images, 3200 Cases, 45 Categories of Eye Disease Classification | Grand Challenge | 2023-01 | ISBI'2021 |
| ToxoFundus | 2D Fundus Color Photos, 412 Cases, 2 Categories of Toxoplasmic Chorioretinitis Classification | Kaggle | 2023-06 | - |
| Harvard Glaucoma Detection and Progression | 2D Fundus photograph, 1544 Cases, 3 Categories of Predicting Glaucoma and Severity Classification | Project Homepage | 2023-08 | - |
| BiDR | 2D Fundus Photography, 2838 Cases, 2 Categories of Diabetic Retinopathy Classification | Kaggle | 2023-11 | - |
| MICCAI 2024 DIAMOND | 2D Fundus photograph, 2 Categories of center-involved DME Prediction and Retina Diseases Classification | Codabench | 2024-03 | MICCAI'2024 |
| Cataract-1K | 2D Ophthalmic Microscope, 1000 Cases, 13 Categories of Surgical Stages, 2 Categories of Anomaly Detection, 12 Categories of Segmentations | Github | 2024-04 | - |
| OphNet | 2D Ophthalmic Microscope, 2278 Cases, 66 Categories of Surgeries, 103 Categories of Stages, 150 Categories of Operations Ophthalmic Surgery Video Classification and Localization | Project Homepage | 2024-07 | - |
| Dataset | Description | Official Website | Release Date | Challenge |
|---|---|---|---|---|
| PH² | 2D Dermoscopic Images, 200 Cases, 2 Categories of Melanoma Segmentation | Project Homepage | 2015 | - |
| MED-NODE | 2D Dermoscopic Images, 170 Cases, 2 Categories of Benign and Malignant Melanoma Classification | Project Homepage | 2015-07 | - |
| ISIC 2017 | 2D Dermoscopic Images, 2750 Cases, 1 Category of Melanoma Segmentation | Project Homepage | 2017 | - |
| Derm7pt | 2D Dermoscopic Images, 2000 Cases, 19 Categories of Skin Lesion Malignancy Examination Classification | Project Homepage | 2019 | - |
| ISIC 2020 | 2D Dermoscopic Images, 33126 Cases, 2 Categories of Benign and Malignant Melanoma Classification | Project Homepage | 2020 | - |
| PED-UFES-20 | 2D Dermoscopic Images, 2298 Cases, 6 Categories of Dermatology classification | Mendeley | 2020-07 | - |
| Fitzpatrick 17k | 2D Dermoscopic Images, 16577 Cases, 6 Categories of Fitzpatrick Skin Type, 114 Categories of Skin Condition | Github | 2021 | - |
| Web-scraped Skin Image | 2D Dermoscopic Images, 804 Cases, 6 Categories of Dermatology Classification | Kaggle | 2022-08 | - |
| SCIN | 2D Dermoscopic Images, 10408 Cases, Skin Pathological Conditions (Appearance and Severity) Classification | Project Homepage | 2023-02 | - |
| Dataset | Description | Official Website | Release Date | Challenge |
|---|---|---|---|---|
| Herlev-Cervical Smear | 2D Histopathology, 917 Cases, 7 Categories of Cervical Smear Classification | Project Homepage | 2003 | - |
| Corneal Nerve | 2D Microscopic Imaging, 90 Cases, 2 Categories of Corneal Abnormality Classification | Project Homepage | 2008-11 | - |
| Malignant Lymphoma Classification | 2D Pathological Sections, 374 Cases, 3 Categories of Malignant Lymphoma Classification | Kaggle | 2010-07 | - |
| Corneal Nerve Tortuosity | 2D Microscopic Imaging, 30 Cases, 3 Categories of Corneal Nerve Distortion Grade | Project Homepage | 2011-08 | - |
| BioMediTech | 2D Cell Imaging, 1862 Cases, 4 Categories of Retinal Cell Classification | Project Homepage | 2016-02 | - |
| GlaS | 2D Pathological Imaging, 165 Cases, 1 Category of Colorectal Gland Tissue Segmentation | Project Homepage | 2017 | MICCAI'2015 |
| HuSHeM | 2D Microscopic Imaging, 216 Cases, 4 Categories of Sperm Classification | Mendeley | 2017-06 | - |
| MoNuSeg | 2D Microscopic Imaging, 53 Cases, 1 Category of Nucleus Segmentation | Grand Challenge | 2017 | MICCAI'2018 |
| PatchCamelyon | 2D Pathological Imaging, 327,680 Cases, 2 Categories of Breast Cancer Metastasis Classification | Project Homepage | 2018-06 | CAMELYON16 |
| ICIAR 2018 BACH Task1 | 2D Histology Imaging, 400 Cases, 4 Categories of Breast Cancer Classification | Grand Challenge | 2018-08 | ICIAR'2018 |
| ICIAR 2018 BACH Task2 | 2D Histology Imaging, 30 Cases, 3 Categories of Breast Cancer Segmentation | Grand Challenge | 2018-08 | ICIAR'2018 |
| CORN | 2D Microscopic Imaging, 1698 Cases, 1 Category of Corneal Nerve Segmentation | Project Homepage | 2019 | - |
| DigestPath2019 | 2D Pathological Imaging, 250 Cases, 1 Category of Digestive System Pathology Segmentation and Detection | Grand Challenge | 2019 | MICCAI'2019 |
| Leukemia | 2D Microscopic Imaging, 1867 Cases, 2 Categories of Leukemia Cell Classification | Kaggle | 2019 | - |
| ICPR-HEp-2 | 2D Cell Fluorescence Microscopy Imaging, 14K, 6 Categories of Cell Classification | Project Homepage | 2019-02 | - |
| Complete Blood Count | 2D Blood Smear, 360 Cases, 3 Categories of Blood Cell Count | Github | 2019-07 | - |
| LC25000 | 2D Pathological Imaging, 25000 Cases, 5 Categories of Pathological Image Classification | Github | 2020-01 | - |
| PanNuke | 2D Pathology, 7904 Cases, 6 Categories of Nuclear Segmentation | Project Homepage | 2020-03 | - |
| SICAPv2 Prostate Pathology Segmentation Dataset | 2D Pathological Imaging, 18783 Cases, 4 Categories of Prostate Cancer Grade | Mendeley | 2020-07 | - |
| ANHIR | 2D Pathological Imaging, 481 Cases, Pathological Image Lung Lobes and Breast Tissue Registration | Grand Challenge | 2020-07 | ISBI'2019 |
| MitoEM2021 | 3D Histopathology Imaging, 2 Cases, 1 Category of Mitochondria Segmentation | Grand Challenge | 2021 | ISBI'2021 |
| CoCaHis | 2D Pathological Imaging, 82 Cases, 2 Categories of Colon Cancer Tissue Segmentation | Project Homepage | 2021-01 | - |
| Malaria Cell Images | 2D Microscopic Imaging, 27558 Cases, 2 Categories of Malaria Classification | Project Homepage | 2021-03 | - |
| SegPC21 | 2D Microscopic Imaging, 498 Cases, 2 Categories of Myeloma Segmentation | Grand Challenge | 2021-04 | ISBI'2021 |
| MHIST | 2D Pathological Imaging, 3152 Cases, 2 Categories of Colon Polyps Classification | Project Homepage | 2021-06 | - |
| Bone Marrow Cytomorphology | 2D Pathological Imaging, 171,375 Cases, 21 Categories of Bone Marrow Cell Morphological Classification | Project Homepage | 2021-11 | - |
| Chaoyang | 2D Pathological Imaging, 6160 Cases, 4 Categories of Colonic Lesions Classification | Github | 2021-11 | - |
| CoNIC2022 | 2D Pathological Imaging, 4981 Cases, 7 Categories of Nuclei within Tissues Segmentation | Grand Challenge | 2022 | ISBI'2022 |
| NeurIPS 2022 Cell Seg | 2D Microscopic Imaging, 3022 Cases, 1 Category of Cell Instance Segmentation | Grand Challenge | 2022-06 | NeurIPS'2022 |
| BRACS | 2D Pathological Imaging, 4539 ROIs/547 WSIs, 7 Categories of Breast Cancer Subtype Classification | Project Homepage | 2022-10 | - |
| BCI | 2D Pathological Imaging, 4870 Cases, 4 Categories to convert HE images to IHC images | Project Homepage | 2023-04 | - |
| MIDOG++ | 2D Pathological Imaging, 22688 Cases, 2 Categories of Tumor Tissue Mitotic Classification | Github | 2023-07 | - |
| SegPANDA200 | 2D Pathological Imaging, 100960 Cases, 6 Categories of Prostate Tissue Segmentation | Project Homepage | 2023-10 | - |
| MIST-HER2 | 2D Pathological Imaging, 22688 Cases, 4 Categories of Critical Biomarkers in Breast Cancer Diagnosis Image Transformation | Project Homepage | 2023-10 | - |
| KPIs | 2D Pathological Imaging, 10428 Patches, 1 Category of Glomerular Tissue Segmentation | Project Homepage | 2024-03 | MICCAI'2024 |
| Dataset | Description | Official Website | Release Date |
|---|---|---|---|
| IU-Xray | RG, 7,470 Frontal or Lateral Chest X-ray Images, with 3,955 Corresponding Reports | PaperWithCode | 2016 |
| VQA-RAD | VQA, 3515 Cases QA Pair | Project Homepage | 2018-11 |
| ImageClef-2019-VQA-Med | VQA, 15292 Cases QA Pair | Project Homepage | 2019-09 |
| ZuCo 2.0 | eeg-to-text | Project Homepage | 2019-12 |
| PathVQA | VQA, 32799 Cases QA Pair | Grand Challenge | 2020-03 |
| MedICaT | VQA, 217060 Cases QA Pair | Github | 2020-12 |
| SLAKE | VQA, 14028 Cases QA Pair | Project Homepage | 2021-02 |
| Montgomery County CXR Set | 2D X-Ray, 138 Cases, 2 Categories of CXR Image Abnormality Diagnosis | Project Homepage | 2021-06 |
| MMMU Health&Medicine | VQA, 1752 Cases QA Pair | Mendeley | 2022-07 |
| PMC-OA | VQA, 1.6M QA Pair | Project Homepage | 2023-03 |
| PMC-VQA | VQA, 227K Cases | Github | 2023-05 |
| Quilt-1M | Caption, 768826 Cases | Project Homepage | 2023-06 |
| ROCOV2 | Caption, 80080 Cases Image-Caption Pair | Zenodo | 2023-11 |
| RP3D-Caption | Caption, 69523 Cases Image-Caption Pair | Project Homepage | 2023-11 |
| PMC-Inline | Caption, 11,000,000 Images | Hugginface | 2023-11 |
| CT-RATE | Caption, 47149 Cases | Hugginface | 2024-03 |
| MedPromptX-VQA | VQA, 968 Cases QA Pair | Project Homepage | 2024-03 |
| WSI-VQA | VQA, 8672 Cases QA Pair | Github | 2024-07 |
| Medical-CXR-VQA | 2D X-Ray, 780014 Cases, LLMs specializing in chest X-ray images | Github | 2024-07 |
| Dataset | Description | Official Website | Release Date |
|---|---|---|---|
| LiveQA | QA, 634 Cases QA Pair | Github | 2017 |
| cMedQA v2.0 | QA, 108K Cases QA Pair | Github | 2018-12 |
| webMedQA | QA, 63,284 Cases QA Pair | Github | 2019 |
| PubMedQA | QA, 1000 Cases Expert annotation QA Pair | Project Homepage | 2019 |
| MedDialog-CN | QA, 1.1M Cases QA Pair | Github | 2020-07 |
| MedQA | QA, 61,097 Cases QA Pair | Github | 2020-09 |
| Chinese Medical Dialogue Dataset | QA, 792K Cases QA Pair | Project Homepage | 2021-02 |
| MedMCQA | QA, 193,155 Cases QA Pair | Project Homepage | 2022-03 |
| Huatuo-26M | QA, 26M Cases QA Pair | Github | 2023-05 |
| HealthSearchQA | QA, 3173 Cases QA Pair | Paper | 2023-07 |
| CMB | QA, 270K Cases QA Pair | Github | 2023-08 |
| ShenNong-TCM-Dataset/EB | QA, 113K Cases QA Pair | Github | 2023-08 |
| CMExam | QA, 68K Cases QA Pair | Github | 2023-10 |
| MedBench | QA, 113K Cases QA Pair | Project Homepage | 2023-12 |
| RJUA-QA | QA, 213 Cases QA Pair | Github | 2023 |
| ChineseEEG | Semantic Decoding and Matching, 25 Phases and 115,233 Characters | Github | 2024-03 |