8000 GitHub - yunzhuC/MCSD: Multi-consistency for Semi-Supervised medical Image Segmentation with Diffusion Model
[go: up one dir, main page]
More Web Proxy on the site http://driver.im/
Skip to content

yunzhuC/MCSD

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

42 Commits
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Multi-consistency for Semi-Supervised medical image segmentation with Diffusion Models

Introduction

This repository is the Pytorch implementation of "Multi-consistency for Semi-Supervised medical image segmentation with Diffusion Models"

Requirements

We implemented our experiment on the super-parallel computer system of Guangxi University. The specific configuration is as follows:

  • Centos 7.4
  • NVIDIA Tesla V100 32G
  • Intel Xeon gold 6230 2.1G 20C processor

Dataset

Please modify your dataset path.

Usage

  1. Clone the repo:
git clone git@github.com:yunzhuC/MCSD.git
cd MCSD
  1. Train the model
python train.py
  1. Test the model
python test.py

Citation

Acknowledgement

Part of the code is revised from the UniMatch.

Note

  • The repository is being updated.

About

Multi-consistency for Semi-Supervised medical Image Segmentation with Diffusion Model

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages

0