There are 1 repository under liver topic.
LiTS - Liver Tumor Segmentation Challenge
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
Fatty Liver Level Recognition Using Particle Swarm optimization (PSO) Image Segmentation and Analysis
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.
End-to-end AI Liver Segmentation Network on CT
User-friendly software for organizing/processing/annotating ultrasound scans of sea turtles
CirrMRI600+: Large Scale MRI Collection and Segmentation of Cirrhotic Liver
大学本科毕业设计
A Model to Detect liver Tumor From CT scans.
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.
Computer Vision with PyTorch for Medical Image Analysis
Gut microbiota fuels HCC development by shaping the hepatic inflammatory microenvironment
Master Thesis Official Repository
Demystifying liver medical data using machine learning
Generate expression matrix from microarray data derived from BXD liver
It is a standalone application that can help radiologist in segmenting liver (DICOM image) using a region growing function and contouring to find the area of the segmented liver along with manual segmentation where the radiologist can segment the diseased liver manually along with providing notes for the segmented region.
Code and Data from our Microbiome in Liver Transplant Infection Manuscript
A 3D patient-specific biliary tree constructed from biliscopin images
This project is a Content Management System made for the King's College Hospital.
This repo contains code and presentations used for ad-hoc analyses regarding liver cell toxicology and development. It also contains analyses on human and mice immune cells.
Hepatocyte-specific NRF2 activation controls fibrogenesis and carcinogenesis in steatohepatitis
The focus of this project is to develop a machine learning algorithm using the plasma lipid data provided to provide staging for a patient’s liver disease diagnosis.