medical-image-segmentation

There are 239 repositories under medical-image-segmentation topic.

  • PaddlePaddle/PaddleSeg

    Easy-to-use image segmentation library with awesome pre-trained model zoo, supporting wide-range of practical tasks in Semantic Segmentation, Interactive Segmentation, Panoptic Segmentation, Image Matting, 3D Segmentation, etc.

    Language:Python8.4k882.1k1.7k

  • open-mmlab/mmsegmentation

    OpenMMLab Semantic Segmentation Toolbox and Benchmark.

    Language:Python7.6k542.3k2.5k
  • MedicalZooPytorch

    black0017/MedicalZooPytorch

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

    Language:Python1.6k3425293
  • awesome-transformers-in-medical-imaging

    fahadshamshad/awesome-transformers-in-medical-imaging

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

    1.1k195171

  • AngeLouCN/Min_Max_Similarity

    A contrastive learning based semi-supervised segmentation network for medical image segmentation

    Language:Python1k26397

  • rezazad68/BCDU-Net

    BCDU-Net : Medical Image Segmentation

    Language:Python688841261

  • AngeLouCN/CaraNet

    Context Axial Reverse Attention Network for Small Medical Objects Segmentation

    Language:Python45822530

  • jeya-maria-jose/UNeXt-pytorch

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

    Language:Python44434271

  • DengPingFan/PraNet

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

    Language:Python411754119

  • frankkramer-lab/MIScnn

    A framework for Medical Image Segmentation with Convolutional Neural Networks and Deep Learning

    Language:Python39714115117

  • Rubics-Xuan/TransBTS

    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).

    Language:Python37325380

  • jeya-maria-jose/KiU-Net-pytorch

    Official Pytorch Code of KiU-Net for Image/3D Segmentation - MICCAI 2020 (Oral), IEEE TMI

    Language:Python34973679

  • AngeLouCN/DC-UNet

    We proposed a novel U-Net-based model -- DC-UNet to do medical image segmentation.

    Language:Python3201420

  • AngeLouCN/CFPNet-Medicine

    CFPNet-M: A Light-Weight Encoder-Decoder Based Network for Multimodal Biomedical Image Real-Time Segmentation

    Language:Python2821012

  • MIC-DKFZ/MedNeXt

    MedNeXt is a fully ConvNeXt architecture for 3D medical image segmentation (MICCAI 2023).

    Language:Python27491620

  • yhygao/CBIM-Medical-Image-Segmentation

    A PyTorch framework for medical image segmentation

    Language:Python24342944

  • uni-medical/STU-Net

    The largest pre-trained medical image segmentation model (1.4B parameters) based on the largest public dataset (>100k annotations), up until April 2023.

    Language:Python23352823

  • NITR098/Awesome-U-Net

    Official repo for Medical Image Segmentation Review: The success of U-Net

    Language:Jupyter Notebook2274830

  • HiLab-git/WSL4MIS

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

    Language:Python19051632

  • wurenkai/UltraLight-VM-UNet

    [arXiv] The official code for "UltraLight VM-UNet: Parallel Vision Mamba Significantly Reduces Parameters for Skin Lesion Segmentation".

    Language:Python178114521

  • DebeshJha/ResUNetPlusPlus

    Official code for ResUNetplusplus for medical image segmentation (TensorFlow & Pytorch implementation)

    Language:Python16651439

  • josedolz/LiviaNET

    This repository contains the code of LiviaNET, a 3D fully convolutional neural network that was employed in our work: "3D fully convolutional networks for subcortical segmentation in MRI: A large-scale study"

    Language:Python162122851

  • lescientifik/open_brats2020

    Top 10 brats 2020 Solution

    Language:Python16231643

  • GewelsJI/VPS

    Official website for "Video Polyp Segmentation: A Deep Learning Perspective (MIR 2022)"

    Language:Python16073623

  • josedolz/HyperDenseNet

    This repository contains the code of HyperDenseNet, a hyper-densely connected CNN to segment medical images in multi-modal image scenarios.

    Language:Python14811441

  • xmindflow/Awesome-Transformer-in-Medical-Imaging

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

    1452120

  • xmindflow/Awesome-Implicit-Neural-Representations-in-Medical-imaging

    [ICCV 2023] A curated list of resources on implicit neural representations in Medical Imaging

    1377113

  • tamasino52/UNETR

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

    Language:Python1364222

  • HiLab-git/WORD

    [MedIA2022]WORD: A large scale dataset, benchmark and clinical applicable study for abdominal organ segmentation from CT image

    Language:Python1356920

  • plemeri/UACANet

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

    Language:Python12831635

  • Bala93/Multi-task-deep-network

    Usage of Multi-task deep learning network for semantic segmentation in medical images

    Language:Python12271034

  • openmedlab/STU-Net

    The largest pre-trained medical image segmentation model (1.4B parameters) based on the largest public dataset (>100k annotations) to date.

    111203

  • amirhossein-kz/HiFormer

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

    Language:Jupyter Notebook1103018

  • twni2016/OrganSegRSTN_PyTorch

    PyTorch implementation of OrganSegRSTN - CVPR 2018

    Language:Python10531333

  • pykao/BraTS2018-tumor-segmentation

    We provide DeepMedic and 3D UNet in pytorch for brain tumore segmentation. We also integrate location information with DeepMedic and 3D UNet by adding additional brain parcellation with original MR images.

    Language:Python1035623

  • xmindflow/DAEFormer

    [MICCAI 2023] DAE-Former: Dual Attention-guided Efficient Transformer for Medical Image Segmentation

    Language:Python10231611