cgnerds

nnUNet

X-AnyLabeling

Effortless data labeling with AI support from Segment Anything and other awesome models.

Swin-Unet

[ECCVW 2022] The codes for the work "Swin-Unet: Unet-like Pure Transformer for Medical Image Segmentation"

U-Mamba

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

UNeXt-pytorch

Official Pytorch Code base for "UNeXt: MLP-based Rapid Medical Image Segmentation Network", MICCAI 2022

CBIM-Medical-Image-Segmentation

A PyTorch framework for medical image segmentation

transunet_pytorch

SwinMM

[MICCAI 2023] This repository includes the official implementation our paper "SwinMM: Masked Multi-view with Swin Transformers for 3D Medical Image Segmentation"

CV-SSL-MIS

Exploring CNN and ViT for Semi-Supervised Medical Image Segmentation

AAU-net

AAU-net: An Adaptive Attention U-net for Breast Lesions Segmentation in Ultrasound Images

TRFE-Net-for-thyroid-nodule-segmentation

[ISBI'21, CBM'22] TRFE-Net for thyroid nodule segmentation

ScribblePrompt

ScribblePrompt: Fast and Flexible Interactive Segmentation for Any Medical Image

Medical-Image-Segmentation-Benchmarks

A Pytorch implement of medical image segmentation U-shape architecture benchmarks

SCUNet-plusplus

[WACV 2024] SCUNet++: Swin-UNet and CNN Bottleneck Hybrid Architecture with Multi-Fusion Dense Skip Connection for Pulmonary Embolism CT Image Segmentation

NU-net

EchoGraphs

[MICCAI 2022] The official repository of Light-weight spatio-temporal graphs for segmentation and ejection fraction prediction in cardiac ultrasound. Project page: https://guybenyosef.github.io/EchoGraphs/

BRAU-Netplusplus

HRSTNet

SAMMed

This is the research project for the USC Viterbi CSCI-567 Machine Learning course.

metascript

Project of AI3604 Computer Vision, 2023 Fall, SJTU

Dual-Attention-U-Net-with-Feature-Infusion-Pushing-the-Boundaries-of-Multiclass-Defect-Segmentation

multimodal-clinical-pretraining

This is the official code for "Multimodal Pretraining of Medical Time Series and Notes" at Machine Learning for Health 2023

biomed-classification-segmentation

DenseNet classification and Residual UNet segmention for ultrasound images of prostate gland capsules

Prompt_sam_cryoPPP

This study explored prompt-based learning to adapt the state-of-the-art image segmentation foundation model SAM for cryo-EM. Through trials with three prompt-based learning strategies, namely head prompt, prefix prompt, and encoder prompt, we observed enhanced performance and reduced computational requirements compared to the fine-tuning approach.

EquiTrack

Equivariant network for 3D rigid motion tracking

RobDVTUS

This work presents a semi-autonomous robotic DVT-US exam framework, which consists of a hybrid force-motion control scheme, a coarse-to-fine path planning module, and a physical interaction interface.

PeFoMed

The code for paper: PeFoM-Med: Parameter Efficient Fine-tuning on Multi-modal Large Language Models for Medical Visual Question Answering

NeedleFinder

NeedleFinder: fast interactive needle detection.It provides interactive tools to segment needles in MR/CT images. It has been mostly tested on MRI from gynelogical brachytherapy cases. Cf <<Validation of Catheter Segmentation for MR-Guided Gynecologic Cancer Brachytherapy.>> MICCAI 2013

hierarchical-dense-ssl

Ultrasound-guided-needle-tracking-with-deep-learning