medical-image-segmentation

A pytorch-based deep learning framework for multi-modal 2D/3D medical image segmentation

A collection of resources on applications of Transformers in Medical Imaging.

[MICCAI 2023] MedNeXt is a fully ConvNeXt architecture for 3D medical image segmentation.

[MedIA Journal] An ultimately comprehensive paper list of Vision Transformer/Attention, including papers, codes, and related websites

HiFormer: Hierarchical Multi-scale Representations Using Transformers for Medical Image Segmentation (WACV 2023)

This the repo for the paper tiltled "AgileFormer: Spatially Agile Transformer UNet for Medical Image Segmentation"

[BMVC 2024] Official repository of the paper titled "MSA^2 Net: Multi-scale Adaptive Attention-guided Network for Medical Image Segmentation"

Awesome UNet with Transformer

The code to finetune SAM with bounding box prompt for segmentation of the lungs on CT