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aide

AIDE: Annotation-efficient deep learning for automatic medical image segmentation

aprnet

PyTorch Implementation of APRNet for Brain Tissue Segmentation

awesome-u-net

Official repo for Medical Image Segmentation Review: The success of U-Net

brain-tumor-segmentation

A deep learning based approach for brain tumor MRI segmentation.

braintumorsegmentation

Brain tumor segmentation for BRATS2020

co-training-for-nih-pancreas-segmentation

coranet

densenet-keras

DenseNet Implementation in Keras with ImageNet Pretrained Models

dodnet

[CVPR2021] DoDNet: Learning to segment multi-organ and tumors from multiple partially labeled datasets

dtml

Dual-Task Mutual Learning for Semi-Supervised Medical Image Segmentation

gpt_academic

为ChatGPT/GLM提供图形交互界面，特别优化论文阅读润色体验，模块化设计支持自定义快捷按钮&函数插件，支持代码块表格显示，Tex公式双显示，支持Python和C++等项目剖析&自译解功能，PDF/LaTex论文翻译&总结功能，支持并行问询多种LLM模型，支持清华chatglm等本地模型。兼容复旦MOSS, llama, rwkv, 盘古, newbing, claude等

h-denseunet

TMI 2018. H-DenseUNet: Hybrid Densely Connected UNet for Liver and Tumor Segmentation from CT Volumes

keras_tumor_segmentation_denseunet

knowledge-distillation-keras

A machine learning experiment

mc-net

Official Code for our MedIA paper "Mutual Consistency Learning for Semi-supervised Medical Image Segmentation"

mri-braintumor-segmentation

MRI Brain Tumor Segmentation - BraTS Challenge 2020

mtans

mttu-net

nnunet

pixelssl

A PyTorch-based Semi-Supervised Learning (SSL) Codebase for Pixel-wise (Pixel) Vision Tasks [ECCV 2020]

pytorch-handbook

pytorch handbook是一本开源的书籍，目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门，其中包含的Pytorch教程全部通过测试保证可以成功运行

rcps

official implementation of rectified contrastive pseudo supervision

scc

[CMIG‘2022] [Pytorch]A Contrastive Consistency Semi-supervised Left Atrium Segmentation Model

sota-medseg

SOTA medical image segmentation methods based on various challenges

ssl4mis

Semi Supervised Learning for Medical Image Segmentation, a collection of literature reviews and code implementations.

ssr-

用于SSR服务订阅的安装包

swin-mae

Pytorch implementation of Swin MAE https://arxiv.org/abs/2212.13805

swin-unet

The codes for the work "Swin-Unet: Unet-like Pure Transformer for Medical Image Segmentation"

transbts

This repo provides the official code for : 1) TransBTS: Multimodal Brain Tumor Segmentation Using Transformer (https://arxiv.org/pdf/2103.04430.pdf) , accepted by MICCAI2021. 2) TransBTSV2: Towards Better and More Efficient Volumetric Segmentation of Medical Images(https://arxiv.org/abs/2201.12785).

transunet

This repository includes the official project of TransUNet, presented in our paper: TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation.