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 ## Literature reviews of semi-supervised learning approach for medical image segmentation (**SSL4MIS**).
 |Date|The First and Last Authors|Title|Code|Reference|
 |---|---|---|---|---|
+|2022-11|L. Wang and P. Heng|Dual Multi-scale Mean Teacher Network for Semi-supervised Infection Segmentation in Chest CT Volume for COVID-19|[Code](https://github.com/jcwang123/DM2TNet)|[TCYB2022](https://arxiv.org/pdf/2211.05548.pdf)|
 |2022-10|F. Fyu and P. Yuen|Pseudo-Label Guided Image Synthesis for Semi-Supervised COVID-19 Pneumonia Infection Segmentation|[Code](https://github.com/FeiLyu/SASSL)|[TMI2022](https://ieeexplore.ieee.org/document/9931157)|
 |2022-10|J. Shi and C. Li|Semi-Supervised Pixel Contrastive Learning Framework for Tissue Segmentation in Histopathological Image|None|[JBHI2022](https://ieeexplore.ieee.org/document/9926096)|
 |2022-10|C. Xu and S. Li|BMAnet: Boundary Mining with Adversarial Learning for Semi-supervised 2D Myocardial Infarction Segmentation|None|[JBHI2022](https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9924606)|