Top 11 medical-image-segmentation open source projects

OpenMMLab Semantic Segmentation Toolbox and Benchmark.

Official code for ResUNetplusplus for medical image segmentation (TensorFlow implementation) (IEEE ISM)

Pytorch version of the HyperDenseNet deep neural network for multi-modal image segmentation

Elastic Boundary Projection for 3D Medical Image Segmentation - CVPR 2019

[AAAI'20] Segmenting Medical MRI via Recurrent Decoding Cell (Spotlight)

Official PyTorch implementation of UACANet: Uncertainty Augmented Context Attention for Polyp Segmentation (ACMMM 2021)

Unofficial code base for UNETR: Transformers for 3D Medical Image Segmentation

Scribbles or Points-based weakly-supervised learning for medical image segmentation, a strong baseline, and tutorial for research and application.

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

PraNet: Parallel Reverse Attention Network for Polyp Segmentation, MICCAI 2020 (Oral). Code using Jittor Framework is available.

Decoder architecture based on the UNet++. Combining residual bottlenecks with depthwise convolutions and attention mechanisms, it outperforms the UNet++ in a coronary artery segmentation task, while being significantly more computationally efficient.