- More papers and code repositories will be updated later, unfortunately, there are very few codes and data is open available. For easy evaluation and fair comparison , we are trying to build a semi-supervised medical image segmentation benchmark to boost the semi-supervised learning research in the medical image segmentation community. If you are interested, you can push your implementations or ideas to this repository at any time.
| Date | The First and Last Authors | Title | Code | Reference |
|---|---|---|---|---|
| 2020-10 | X. Cao and L. Cheng | Uncertainty Aware Temporal-Ensembling Model for Semi-supervised ABUS Mass Segmentation | None | TMI2020 |
| 2020-09 | Z. Zhang and W. Zhang | Semi-supervised Semantic Segmentation of Organs at Risk on 3D Pelvic CT Images | None | Arxiv |
| 2020-09 | J. Wang and G. Xie | Semi-supervised Active Learning for Instance Segmentation via Scoring Predictions | None | BMVC2020 |
| 2020-09 | X. Luo and S. Zhang | Semi-supervised Medical Image Segmentation through Dual-task Consistency | DTC | Arxiv |
| 2020-08 | X. Huo and Q. Tian | ATSO: Asynchronous Teacher-Student Optimization for Semi-Supervised Medical Image Segmentation | None | Arxiv |
| 2020-08 | Y. Xie and Y. Xia | Pairwise Relation Learning for Semi-supervised Gland Segmentation | None | MICCAI2020 |
| 2020-07 | S. Li and X. He | Shape-aware Semi-supervised 3D Semantic Segmentation for Medical Images | SASSNet | MICCAI2020 |
| 2020-07 | Y. Zhou and P. Heng | Deep Semi-supervised Knowledge Distillation for Overlapping Cervical Cell Instance Segmentation | MMT-PSM | MICCAI2020 |
| 2020-07 | J. Peng and C. Desrosiers | Mutual information deep regularization for semi-supervised segmentation | deepclustering | MIDL2020 |
| 2020-07 | Y. Xia and H. Roth | Uncertainty-aware multi-view co-training for semi-supervised medical image segmentation and domain adaptation | None | WACV2020,MedIA2020 |
| 2020-07 | X. Li and P. Heng | Transformation-Consistent Self-Ensembling Model for Semisupervised Medical Image Segmentation | TCSM | TNNLS2020 |
| 2020-04 | C. Liu and C. Ye | Semi-Supervised Brain Lesion Segmentation Using Training Images with and Without Lesions | None | ISBI2020 |
| 2020-04 | R. Li and D. Auer | A Generic Ensemble Based Deep Convolutional Neural Network for Semi-Supervised Medical Image Segmentation | SS | ISBI2020 |
| 2020-04 | K. Ta and J. Ducan | A Semi-Supervised Joint Learning Approach to Left Ventricular Segmentation and Motion Tracking in Echocardiography | None | ISBI2020 |
| 2020-04 | Q. Chang and D. Metaxas | Soft-Label Guided Semi-Supervised Learning for Bi-Ventricle Segmentation in Cardiac Cine MRI | None | ISBI2020 |
| 2019-10 | L. Yu and P. Heng | Uncertainty-aware self-ensembling model for semi-supervised 3D left atrium segmentation | UA-MT | MICCAI2019 |
| 2019-10 | G. Bortsova and M. Bruijne | Semi-Supervised Medical Image Segmentation via Learning Consistency under Transformations | None | MICCAI2019 |
| 2019-10 | H. Zheng and X. Han | Semi-supervised Segmentation of Liver Using Adversarial Learning with Deep Atlas Prior | None | MICCAI2019 |
| 2019-10 | Y. Zhao and C. Liu | Multi-view Semi-supervised 3D Whole Brain Segmentation with a Self-ensemble Network | None | MICCAI2019 |
| 2019-10 | H. Kervade and I. Ayed | Curriculum semi-supervised segmentation | None | MICCAI2019 |
| 2019-10 | S. Chen and M. Bruijne | Multi-task Attention-based Semi-supervised Learning for Medical Image Segmentation | None | MICCAI2019 |
| 2019-10 | Z. Xu and M. Niethammer | DeepAtlas: Joint Semi-Supervised Learning of Image Registration and Segmentation | None | MICCAI2019 |
| 2019-10 | S. Sedai and R. Garnavi | Uncertainty Guided Semi-supervised Segmentation of Retinal Layers in OCT Images | None | MICCAI2019 |
| 2019-06 | W. Cui and C. Ye | Semi-Supervised Brain Lesion Segmentation with an Adapted Mean Teacher Model | None | IPMI2019 |
| 2019-04 | M. Jafari and P. Abolmaesumi | Semi-Supervised Learning For Cardiac Left Ventricle Segmentation Using Conditional Deep Generative Models as Prior | None | ISBI2019 |
| 2019-03 | J. Peng and C. Desrosiers | Deep co-training for semi-supervised image segmentation | deepclustering | PR2020 |
| 2019-01 | Y. Zhou and A. Yuille | Semi-Supervised 3D Abdominal Multi-Organ Segmentation via Deep Multi-Planar Co-Training | None | WACV2019 |
| 2018-10 | P. Ganaye and H. Cattin | Semi-supervised Learning for Segmentation Under Semantic Constraint | None | MICCAI2018 |
| 2018-10 | A. Chartsias and S. Tsaftari | Factorised spatial representation learning: application in semi-supervised myocardial segmentation | None | MICCAI2018 |
| 2018-09 | X. Li and P. Heng | Semi-supervised Skin Lesion Segmentation via Transformation Consistent Self-ensembling Model | TCSM | BMVC2018 |
| 2018-04 | Z. Feng and D. Shen | Semi-supervised learning for pelvic MR image segmentation based on multi-task residual fully convolutional networks | None | ISBI2018 |
| 2017-09 | L. Gu and S. Aiso | Semi-supervised Learning for Biomedical Image Segmentation via Forest Oriented Super Pixels(Voxels) | None | MICCAI2017 |
| 2017-09 | S. Sedai and R. Garnavi | Semi-supervised Segmentation of Optic Cup in Retinal Fundus Images Using Variational Autoencoder | None | MICCAI2017 |
| 2017-09 | W. Bai and D. Rueckert | Semi-supervised Learning for Network-Based Cardiac MR Image Segmentation | None | MICCAI2017 |
Some implementations of semi-supervised learning methods can be found in this Link.
This repository is part of our previous work DTC , if you find it is useful in your research, please consider to cite:
@article{luo2020semi,
title={Semi-supervised Medical Image Segmentation through Dual-task Consistency},
author={Luo, Xiangde and Chen, Jieneng and Song, Tao and Chen, Yinan and Wang, Guotai and Zhang, Shaoting},
journal={arXiv preprint arXiv:2009.04448},
year={2020}
}