LiTS - Liver Tumor Segmentation Challenge
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Updated
Aug 27, 2021 - Python
LiTS - Liver Tumor Segmentation Challenge
R Data: Single cell RNA sequencing of human liver reveals distinct intrahepatic macrophage populations
💥 Command line tool for automatic liver parenchyma and liver vessel segmentation in CT using a pretrained deep learning model
3D Slicer extension for liver analysis and therapy planning
End-to-end AI Liver Segmentation Network on CT
Master Thesis Official Repository
Code and Data from our Microbiome in Liver Transplant Infection Manuscript
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
Evaluation of volume-to-surface non-rigid registration using the PBSM method
Image Domain Transfer with CycleGAN
A Model to Detect liver Tumor From CT scans.
大学本科毕业设计
Generate expression matrix from microarray data derived from BXD liver
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.
Demystifying liver medical data using machine learning
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