yulequan / UA-MTLinks
code for MICCAI 2019 paper 'Uncertainty-aware Self-ensembling Model for Semi-supervised 3D Left Atrium Segmentation'.
☆525Updated 5 years ago
Alternatives and similar repositories for UA-MT
Users that are interested in UA-MT are comparing it to the libraries listed below
Sorting:
- Semi-supervised Medical Image Segmentation through Dual-task Consistency☆323Updated 3 years ago
- [MICCAI2021] CoTr: Efficiently Bridging CNN and Transformer for 3D Medical Image Segmentation☆324Updated last year
- Inf-Net: Automatic COVID-19 Lung Infection Segmentation from CT Images, IEEE TMI 2020.☆356Updated 2 years ago
- How Distance Transform Maps Boost Segmentation CNNs: An Empirical Study☆395Updated 4 years ago
- [ECCV'20] Self-supervision with Superpixels: Training Few-shot Medical Image Segmentation without Annotation (code&data-processing pipeli…☆455Updated 4 months ago
- Official Pytorch Code of KiU-Net for Image/3D Segmentation - MICCAI 2020 (Oral), IEEE TMI☆391Updated 2 years ago
- This repo provides the official code for : 1) TransBTS: Multimodal Brain Tumor Segmentation Using Transformer (https://arxiv.org/abs/2103…☆432Updated last year
- 【TMI】This repo is for CENet, which is accepted in TMI.☆253Updated 3 years ago
- Shape-aware Semi-supervised 3D Semantic Segmentation for Medical Images☆182Updated 5 years ago
- ☆356Updated 3 months ago
- [TMI'20, AAAI'19] Synergistic Image and Feature Adaptation☆269Updated 4 years ago
- liver segmentation using deep learning☆427Updated 2 years ago
- 3DUNet implemented with pytorch☆555Updated 4 years ago
- [JBHI] Code for our paper "Multi-scale Guided Attention for Medical Image Segmentation"☆468Updated 5 years ago
- A PyTorch framework for medical image segmentation☆330Updated last year
- MICCAI 2019-2023 Open Source Papers☆1,291Updated 2 years ago
- The official repository of the 2019 Kidney and Kidney Tumor Segmentation Challenge☆460Updated 2 years ago
- ☆295Updated 2 years ago
- [CVPR2021] DoDNet: Learning to segment multi-organ and tumors from multiple partially labeled datasets☆186Updated 2 years ago
- Scribbles or Points-based weakly-supervised learning for medical image segmentation, a strong baseline, and tutorial for research and app…☆231Updated last year
- TMI 2018. H-DenseUNet: Hybrid Densely Connected UNet for Liver and Tumor Segmentation from CT Volumes☆570Updated 2 years ago
- Official Pytorch Code for "Medical Transformer: Gated Axial-Attention for Medical Image Segmentation" - MICCAI 2021☆847Updated 2 years ago