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

a PyQt5 Implementation

3D Slicer extension for liver analysis and therapy planning

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.

CirrMRI600+: Large Scale MRI Collection and Segmentation of Cirrhotic Liver

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

sadly not an actual .exe

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