PaddleSeg是基于飞桨PaddlePaddle开发的端到端图像分割开发套件，涵盖了高精度和轻量级等不同方向的大量高质量分割模型。通过模块化的设计，提供了配置化驱动和API调用两种应用方式，帮助开发者更便捷地完成从训练到部署的全流程图像分割应用。
MMSegmentation 是一个基于 PyTorch 的语义分割开源工具箱。它是 OpenMMLab 项目的一部分。
#计算机科学#A pytorch-based deep learning framework for multi-modal 2D/3D medical image segmentation
#Awesome#A collection of resources on applications of Transformers in Medical Imaging.
A contrastive learning based semi-supervised segmentation network for medical image segmentation
#计算机科学#Official Pytorch Code base for "UNeXt: MLP-based Rapid Medical Image Segmentation Network", MICCAI 2022
#计算机科学#PraNet: Parallel Reverse Attention Network for Polyp Segmentation, MICCAI 2020 (Oral). Code using Jittor Framework is available.
Context Axial Reverse Attention Network for Small Medical Objects Segmentation
#计算机科学#A framework for Medical Image Segmentation with Convolutional Neural Networks and Deep Learning
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 Bette...
[MICCAI 2023] MedNeXt is a fully ConvNeXt architecture for 3D medical image segmentation.
#计算机科学#Official Pytorch Code of KiU-Net for Image/3D Segmentation - MICCAI 2020 (Oral), IEEE TMI
SAM2-UNet: Segment Anything 2 Makes Strong Encoder for Natural and Medical Image Segmentation
We proposed a novel U-Net-based model -- DC-UNet to do medical image segmentation.
Official repo for Medical Image Segmentation Review: The Success of U-Net
The largest pre-trained medical image segmentation model (1.4B parameters) based on the largest public dataset (>100k annotations), up until April 2023.
#计算机科学#A PyTorch framework for medical image segmentation
[arXiv] The official code for "UltraLight VM-UNet: Parallel Vision Mamba Significantly Reduces Parameters for Skin Lesion Segmentation".
CFPNet-M: A Light-Weight Encoder-Decoder Based Network for Multimodal Biomedical Image Real-Time Segmentation