SSL4MIS:用于医学图像分割的半监督学习，文献综述和代码实现的集合

# Semi-supervised-learning-for-medical-image-segmentation. * Recently, semi-supervised image segmentation has become a hot topic in medical image computing, unfortunately, there are only a few open-source codes and datasets, since the privacy policy and others. 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 computing community. If you are interested, you can push your implementations or ideas to this repository at any time. * This project was originally developed for our previous works, if you find it's useful for your research, please consider to cite the followings: @article{luo2020urpc, title={Efficient Semi-supervised Gross Target Volume of Nasopharyngeal Carcinoma Segmentation via Uncertainty Rectified Pyramid Consistency}, author={Luo, Xiangde and Liao, Wenjun and Chen, Jieneng and Song, Tao and Chen, Yinan and and Zhang, Shichuan and Chen, Nianyong and Wang, Guotai and Zhang, Shaoting}, journal={arXiv preprint arXiv:2012.07042}, year={2020} } @article{luo2020semi, title={Semi-supervised Medical Image Segmentation through Dual-task Consistency}, author={Luo, Xiangde and Chen, Jieneng and Song, Tao and Wang, Guotai}, journal={AAAI Conference on Artificial Intelligence}, year={2021} } @misc{ssl4mis2020, title={{SSL4MIS}}, author={Luo, Xiangde}, howpublished={\url{https://github.com/HiLab-git/SSL4MIS}}, year={2020} } ## Literature reviews of semi-supervised learning approach for medical image segmentation (**SSL4MIS**). |Date|The First and Last Authors|Title|Code|Reference| |---|---|---|---|---| |2021-03|Y. Zhang and C. Zhang|Dual-Task Mutual Learning for Semi-Supervised Medical Image Segmentation|[Code](https://github.com/YichiZhang98/DTML)|[Arxiv](https://arxiv.org/pdf/2103.04708.pdf)| |2021-03|J. Peng and C. Desrosiers|Boosting Semi-supervised Image Segmentation with Global and Local Mutual Information Regularization|None|[MELBA](https://arxiv.org/pdf/2103.04813.pdf)| |2021-03|Y. Wu and L. Zhang|Semi-supervised Left Atrium Segmentation with Mutual Consistency Training|None|[Arxiv](https://arxiv.org/pdf/2103.02911)| |2021-02|J. Peng and Y. Wang|Medical Image Segmentation with Limited Supervision: A Review of Deep Network Models|None|[Arxiv](https://arxiv.org/pdf/2103.00429.pdf)| |2021-02|J. Dolz and I. B. Ayed|Teach me to segment with mixed supervision: Confident students become masters|[Code](https://github.com/josedolz/MSL-student-becomes-master)|[IPMI2021](https://arxiv.org/pdf/2012.08051.pdf)| |2021-02|C. Cabrera and K. McGuinness|Semi-supervised Segmentation of Cardiac MRI using Image Registration|None|[Under review for MIDL2021](https://openreview.net/pdf?id=ZMBea7SLdi)| |2021-02|Y. Wang and A. Yuille|Learning Inductive Attention Guidance for Partially Supervised Pancreatic Ductal Adenocarcinoma Prediction|None|[TMI2021](https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9357342)| |2021-02|R. Alizadehsaniand U R. Acharya|Uncertainty-Aware Semi-supervised Method using Large Unlabelled and Limited Labeled COVID-19 Data|None|[Arxiv](https://arxiv.org/ftp/arxiv/papers/2102/2102.06388.pdf)| |2021-02|D. Yang and D. Xu|Federated Semi-Supervised Learning for COVID Region Segmentation in Chest CT using Multi-National Data from China, Italy, Japan|None|[MedIA2021](https://www.sciencedirect.com/science/article/pii/S1361841521000384)| |2020-01|E. Takaya and S. Kurihara|Sequential Semi-supervised Segmentation for Serial Electron Microscopy Image with Small Number of Labels|[Code](https://github.com/eichitakaya/Sequential-Semi-supervised-Segmentation)|[Journal of Neuroscience Methods](https://www.sciencedirect.com/science/article/pii/S0165027021000017)| |2021-01|Y. Zhang and Z. He|Semi-supervised Cardiac Image Segmentation via Label Propagation and Style Transfer|None|[Arxiv](https://arxiv.org/pdf/2012.14785.pdf)| |2020-12|H. Wang and D. Chen|Unlabeled Data Guided Semi-supervised Histopathology Image Segmentation|None|[Arxiv](https://arxiv.org/pdf/2012.09373.pdf)| |2020-12|X. Luo and S. Zhang|Semi-supervised Segmentation via Uncertainty Rectified Pyramid Consistency and Its Application to Gross Target Volume of Nasopharyngeal Carcinoma|[Code](https://github.com/HiLab-git/SSL4MIS)|[Arxiv](https://arxiv.org/pdf/2012.07042.pdf)| |2020-12|M. Abdel‐Basset and M. Ryan|FSS-2019-nCov: A Deep Learning Architecture for Semi-supervised Few-Shot Segmentation of COVID-19 Infection|None|[Knowledge-Based Systems2020](https://www.sciencedirect.com/science/article/pii/S0950705120307760)| |2020-11|N. Horlava and N. Scherf|A comparative study of semi- and self-supervised semantic segmentation of biomedical microscopy data|None|[Arxiv](https://arxiv.org/pdf/2011.08076.pdf)| |2020-11|P. Wang and C. Desrosiers|Self-paced and self-consistent co-training for semi-supervised image segmentation|None|[Arxiv](https://arxiv.org/pdf/2011.00325.pdf)| |2020-10|Y. Sun and L. Wang|Semi-supervised Transfer Learning for Infant Cerebellum Tissue Segmentation|None|[MLMI2020](http://liwang.web.unc.edu/files/2020/10/Sun2020_Chapter_Semi-supervisedTransferLearnin.pdf)| |2020-10|L. Chen and D. Merhof|Semi-supervised Instance Segmentation with a Learned Shape Prior|[Code](https://github.com/looooongChen/shape_prior_seg)|[LABELS2020](https://link.springer.com/chapter/10.1007/978-3-030-61166-8_10)| |2020-10|S. Shailja and B.S. Manjunath|Semi supervised segmentation and graph-based tracking of 3D nuclei in time-lapse microscopy|[Code](https://github.com/s-shailja/ucsb_ctc)|[Arxiv](https://arxiv.org/pdf/2010.13343.pdf)| |2020-10|L. Sun and Y. Yu|A Teacher-Student Framework for Semi-supervised Medical Image Segmentation From Mixed Supervision|None|[Arxiv](https://arxiv.org/pdf/2010.12219.pdf)| |2020-10|J. Ma and X. Yang|Active Contour Regularized Semi-supervised Learning for COVID-19 CT Infection Segmentation with Limited Annotations|[Code](https://zenodo.org/record/4246238#.X6PSyogzZFE)|[Physics in Medicine & Biology2020](https://iopscience.iop.org/article/10.1088/1361-6560/abc04e/pdf)| |2020-10|W. Hang and J. Qin|Local and Global Structure-Aware Entropy Regularized Mean Teacher Model for 3D Left Atrium Segmentation|[Code](https://github.com/3DMRIs/LG-ER-MT)|[MICCAI2020](https://link.springer.com/chapter/10.1007/978-3-030-59710-8_55)| |2020-10|K. Tan and J. Duncan|A Semi-supervised Joint Network for Simultaneous Left Ventricular Motion Tracking and Segmentation in 4D Echocardiography|None|[MICCAI2020](https://link.springer.com/chapter/10.1007/978-3-030-59725-2_45)| |2020-10|Y. Wang and Z. He|Double-Uncertainty Weighted Method for Semi-supervised Learning|None|[MICCAI2020](https://link.springer.com/chapter/10.1007%2F978-3-030-59710-8_53)| |2020-10|K. Fang and W. Li|DMNet: Difference Minimization Network for Semi-supervised Segmentation in Medical Images|None|[MICCAI2020](https://link.springer.com/chapter/10.1007/978-3-030-59710-8_52)| |2020-10|X. Cao and L. Cheng|Uncertainty Aware Temporal-Ensembling Model for Semi-supervised ABUS Mass Segmentation|None|[TMI2020](https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9214845)| |2020-09|Z. Zhang and W. Zhang|Semi-supervised Semantic Segmentation of Organs at Risk on 3D Pelvic CT Images|None|[Arxiv](https://arxiv.org/ftp/arxiv/papers/2009/2009.09571.pdf)| |2020-09|J. Wang and G. Xie|Semi-supervised Active Learning for Instance Segmentation via Scoring Predictions|None|[BMVC2020](http://scholar.google.com/scholar_url?url=https://www.bmvc2020-conference.com/assets/papers/0031.pdf&hl=zh-CN&sa=X&d=4465129548770333798&ei=u85pX6XsJNKsmwG4zr6YCw&scisig=AAGBfm1GGUNfq7zId6WBRyppRRjnPSpLsQ&nossl=1&oi=scholaralrt&html=&cited-by=)| |2020-09|X. Luo and S. Zhang|Semi-supervised Medical Image Segmentation through Dual-task Consistency|[Code](https://github.com/Luoxd1996/DTC)|[AAAI2021](https://arxiv.org/pdf/2009.04448.pdf)| |2020-08|X. Huo and Q. Tian