YtongXie / CoTr
[MICCAI2021] CoTr: Efficiently Bridging CNN and Transformer for 3D Medical Image Segmentation
☆307Updated 6 months ago
Alternatives and similar repositories for CoTr:
Users that are interested in CoTr are comparing it to the libraries listed below
- Semi-supervised Medical Image Segmentation through Dual-task Consistency☆302Updated 3 years ago
- This repo provides the official code for : 1) TransBTS: Multimodal Brain Tumor Segmentation Using Transformer (https://arxiv.org/abs/2103…☆403Updated last year
- A PyTorch framework for medical image segmentation☆291Updated 11 months ago
- Official Pytorch Code of KiU-Net for Image/3D Segmentation - MICCAI 2020 (Oral), IEEE TMI☆377Updated last year
- [CVPR2021] DoDNet: Learning to segment multi-organ and tumors from multiple partially labeled datasets☆181Updated last year
- Shape-aware Semi-supervised 3D Semantic Segmentation for Medical Images☆173Updated 4 years ago
- [MICCAI2022] This is an official PyTorch implementation for A Robust Volumetric Transformer for Accurate 3D Tumor Segmentation☆261Updated last year
- Code for Comprehensive Attention Convolutional Neural Networks for Explainable Medical Image Segmentation.☆175Updated 4 years ago
- code for MICCAI 2019 paper 'Uncertainty-aware Self-ensembling Model for Semi-supervised 3D Left Atrium Segmentation'.☆497Updated 4 years ago
- ☆351Updated last month
- Official implementation of UTNet: A Hybrid Transformer Architecture for Medical Image Segmentation☆189Updated last year
- Codes and pretrained weights for winning submission of 2021 Brain Tumor Segmentation (BraTS) Challenge☆176Updated last year
- Unofficial code base for UNETR: Transformers for 3D Medical Image Segmentation☆172Updated 2 years ago
- ☆183Updated 5 years ago
- This repo holds the code of TransFuse: Fusing Transformers and CNNs for Medical Image Segmentation☆194Updated 2 years ago
- ☆287Updated last year
- ☆259Updated last year
- Medical Image Segmentation using Squeeze-and-Expansion Transformers☆223Updated 2 years ago
- Official Code for *Mixed Transformer UNet for Medical Image Segmentation*☆176Updated last week
- ☆112Updated 3 years ago
- How Distance Transform Maps Boost Segmentation CNNs: An Empirical Study☆389Updated 3 years ago
- 3DUNet implemented with pytorch☆521Updated 3 years ago
- The open source code of SA-UNet: Spatial Attention U-Net for Retinal Vessel Segmentation.☆258Updated 11 months ago
- This is the official repository for the paper "3D TransUNet: Advancing Medical Image Segmentation through Vision Transformers"☆240Updated 8 months ago
- Inf-Net: Automatic COVID-19 Lung Infection Segmentation from CT Images, IEEE TMI 2020.☆351Updated last year
- [ECCV'20] Self-supervision with Superpixels: Training Few-shot Medical Image Segmentation without Annotation (code&data-processing pipeli…☆419Updated last year
- [MedIA2022]WORD: A large scale dataset, benchmark and clinical applicable study for abdominal organ segmentation from CT image☆159Updated 6 months ago
- PraNet: Parallel Reverse Attention Network for Polyp Segmentation, MICCAI 2020 (Oral). Code using Jittor Framework is available.☆482Updated last month
- [CVPR 2023] Label-Free Liver Tumor Segmentation☆345Updated 2 months ago
- Official Pytorch Code base for "UNeXt: MLP-based Rapid Medical Image Segmentation Network", MICCAI 2022☆509Updated last year