rsna-intracranial-hemorrhage-detection.yaml

Name:  RSNA Intracranial Hemorrhage Detection
Description: "RSNA assembled this dataset in 2019 for the RSNA Intracranial Hemorrhage Detection AI Challenge (https://www.kaggle.com/c/rsna-intracranial-hemorrhage-detection/). De-identified head CT studies were provided by four research institutions. A group of over 60 volunteer expert radiologists recruited by RSNA and the American Society of Neuroradiology labeled over 25,000 exams for the presence and subtype classification of acute intracranial hemorrhage."
Documentation: https://github.com/RSNA/AI-Challenge-Data
Contact: informatics@rsna.org
ManagedBy: '[Radiological Society of North America](https://www.rsna.org/)'
UpdateFrequency: The dataset may be updated with additional or corrected data on a need-to-update basis.
Tags:
  - aws-pds
  - radiology
  - medical imaging
  - medical image computing
  - machine learning
  - computer vision
  - csv
  - labeled
  - computed tomography
  - x-ray tomography
License: You may access and use these de-identified imaging datasets and annotations (“the data”) for non-commercial purposes only, including academic research and education, as long as you agree to abide by the following provisions: Not to make any attempt to identify or contact any individual(s) who may be the subjects of the data. If you share or re-distribute the data in any form, include a citation to the “Brain CT Hemorrhage Dataset, Copyright RSNA, 2019” as follows: Flanders AF, et al. The RSNA Brain CT Hemorrhage Dataset [10.1148/ryai.2020190211]. Radiology: Artificial Intelligence 2020;2:3."
Resources:
  - Description: Zip archive containing DCM and CSV files
    ARN: 
    Region: 
    Type: S3 Bucket
    ControlledAccess:
DataAtWork:
  Publications:
    - Title: Construction of a Machine Learning Dataset through Collaboration: The RSNA 2019 Brain CT Hemorrhage Challenge
      URL: https://pubs.rsna.org/doi/10.1148/ryai.2020190211