LiTS - Liver Tumor Segmentation Challenge
-
Updated
Aug 27, 2021 - Python
LiTS - Liver Tumor Segmentation Challenge
💥 Command line tool for automatic liver parenchyma and liver vessel segmentation in CT using a pretrained deep learning model
R Data: Single cell RNA sequencing of human liver reveals distinct intrahepatic macrophage populations
3D Slicer extension for liver analysis and therapy planning
CirrMRI600+: Large Scale MRI Collection and Segmentation of Cirrhotic Liver
MultiResDenseUNet (SVOISP-2021-KH&KTMT-125) - Winner (3rd Prize) of The 10th Science and Technology Symposium for OISP Students. Ho Chi Minh City University Of Technology, Vietnam.
Fatty Liver Level Recognition Using Particle Swarm optimization (PSO) Image Segmentation and Analysis
End-to-end AI Liver Segmentation Network on CT
Evaluation of volume-to-surface non-rigid registration using the PBSM method
User-friendly software for organizing/processing/annotating ultrasound scans of sea turtles
大学本科毕业设计
A Model to Detect liver Tumor From CT scans.
Image Domain Transfer with CycleGAN
Computer Vision with PyTorch for Medical Image Analysis
Codes for my project called " Fatty Liver Classification and Scaling: from 0 to 2 using CNN." In this project, I've created my own neural network and trained it with the images of the kidneys with the fat level scaling from 0 to 2. With each given new data to the network, the programme indicates which level of fatness the liver is categorized.
Gut microbiota fuels HCC development by shaping the hepatic inflammatory microenvironment
Generate expression matrix from microarray data derived from BXD liver
Master Thesis Official Repository
Add a description, image, and links to the liver topic page so that developers can more easily learn about it.
To associate your repository with the liver topic, visit your repo's landing page and select "manage topics."