yulequan / UA-MT
code for MICCAI 2019 paper 'Uncertainty-aware Self-ensembling Model for Semi-supervised 3D Left Atrium Segmentation'.
☆499Updated 4 years ago
Alternatives and similar repositories for UA-MT:
Users that are interested in UA-MT are comparing it to the libraries listed below
- Semi-supervised Medical Image Segmentation through Dual-task Consistency☆305Updated 3 years ago
- [MICCAI2021] CoTr: Efficiently Bridging CNN and Transformer for 3D Medical Image Segmentation☆307Updated 7 months ago
- Official Pytorch Code of KiU-Net for Image/3D Segmentation - MICCAI 2020 (Oral), IEEE TMI☆379Updated last year
- How Distance Transform Maps Boost Segmentation CNNs: An Empirical Study☆391Updated 4 years ago
- Shape-aware Semi-supervised 3D Semantic Segmentation for Medical Images☆174Updated 4 years ago
- ☆355Updated 3 months ago
- [ECCV'20] Self-supervision with Superpixels: Training Few-shot Medical Image Segmentation without Annotation (code&data-processing pipeli…☆425Updated last year
- The manuscript has been accepted in TMI.☆244Updated 2 years ago
- [TMI'20, AAAI'19] Synergistic Image and Feature Adaptation☆263Updated 4 years ago
- This repo provides the official code for : 1) TransBTS: Multimodal Brain Tumor Segmentation Using Transformer (https://arxiv.org/abs/2103…☆407Updated last year
- SOTA medical image segmentation methods based on various challenges☆1,599Updated last year
- [CVPR2021] DoDNet: Learning to segment multi-organ and tumors from multiple partially labeled datasets☆184Updated last year
- 3DUNet implemented with pytorch☆526Updated 3 years ago
- liver segmentation using deep learning☆422Updated last year
- ☆288Updated last year
- A PyTorch framework for medical image segmentation☆300Updated last year
- MICCAI 2019-2023 Open Source Papers☆1,274Updated last year
- Inf-Net: Automatic COVID-19 Lung Infection Segmentation from CT Images, IEEE TMI 2020.☆351Updated last year
- [MICCAI 2019 Young Scientist Award] [MEDIA 2020 Best Paper Award] Models Genesis☆761Updated 3 months ago
- A collection of papers about Transformer in the field of medical image analysis.☆468Updated last year
- This repository implements pytorch version of the modifed 3D U-Net from Fabian Isensee et al. participating in BraTS2017☆218Updated 6 years ago
- [IJCAI'18] Unsupervised Cross-Modality Domain Adaptation of ConvNets for Biomedical Image Segmentations with Adversarial Loss (code&data)☆293Updated 5 years ago
- Official code for "Boundary loss for highly unbalanced segmentation", runner-up for best paper award at MIDL 2019. Extended version in Me…☆685Updated last year
- Code for our paper "Multi-scale Guided Attention for Medical Image Segmentation"☆465Updated 4 years ago
- ☆184Updated 5 years ago
- Official Pytorch Code for "Medical Transformer: Gated Axial-Attention for Medical Image Segmentation" - MICCAI 2021☆829Updated 2 years ago
- A framework for data augmentation for 2D and 3D image classification and segmentation☆1,129Updated last month
- TMI 2018. H-DenseUNet: Hybrid Densely Connected UNet for Liver and Tumor Segmentation from CT Volumes☆550Updated 2 years ago
- Scribbles or Points-based weakly-supervised learning for medical image segmentation, a strong baseline, and tutorial for research and app…☆224Updated last year
- This repository is an unoffical PyTorch implementation of Medical segmentation in 2D and 3D.☆899Updated last year