WangTing418

U-Mamba

U-Mamba: Enhancing Long-range Dependency for Biomedical Image Segmentation

Medical-Image-Segmentation

MedSeg: Medical Image Segmentation GUI Toolbox 可视化医学图像分割工具箱

Lifelong-nnUNet

Advanced_nnUNet

SOTA-MedSeg

SOTA medical image segmentation methods based on various challenges

nnUNet

MedicalNet

Many studies have shown that the performance on deep learning is significantly affected by volume of training data. The MedicalNet project provides a series of 3D-ResNet pre-trained models and relative code.

foundation-cancer-image-biomarker

Code and evaluation repository for the paper

tutorials

MONAI Tutorials

BC_ALN

awesome-visual-transformers

[TNNLS] A Comprehensive Survey of Awesome Visual Transformer Literatures.

Swin-Transformer-Semantic-Segmentation

This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows" on Semantic Segmentation.

DCE-MRI_breast_lesions_seg

pytorch-3dunet

3D U-Net model for volumetric semantic segmentation written in pytorch

Segmentation_breast_cancer_MRI

Code and pre-trained convolutional neural network for breast cancer segmentation in MRI

LABC_Segmentation

Parameters for paper "Deep learning-based segmentation of locally advanced breast cancer on MRI in relation to residual cancer burden: a multi-institutional cohort study"

mri_triage_normal

Deep Learning Breast MRI Segmentation and Classification

pre_post_synthesis

Official repository for "Pre- to Post-Contrast Breast MRI Synthesis for Enhanced Tumour Segmentation"

mri-breast-tumor-segmentation

breast-mri-normalization

AI-assistant-for-breast-tumor-segmentation

intensity-normalization

normalize the intensities of various MR image modalities

DeSAM

The official repository for DeSAM: Decoupled Segment Anything Model for Generalizable Medical Image Segmentation.

MedLSAM

MedLSAM: Localize and Segment Anything Model for 3D Medical Images

Segment-Everything-Everywhere-All-At-Once

[NeurIPS 2023] Official implementation of the paper "Segment Everything Everywhere All at Once"

segment-anything

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

FastSAM

Fast Segment Anything

MedSAM

Segment Anything in Medical Images

Pytorch-UNet

PyTorch implementation of the U-Net for image semantic segmentation with high quality images

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