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## Literature reviews of semi-supervised learning approach for medical image segmentation (**SSL4MIS**).
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|Date|The First and Last Authors|Title|Code|Reference|
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|---|---|---|---|---|
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|2023-07|Q. Wei and Y. Zhou|Consistency-guided Meta-Learning for Bootstrapping Semi-Supervised Medical Image Segmentation|[Code](https://github.com/aijinrjinr/MLB-Seg)|[MICCAI2023](https://arxiv.org/pdf/2307.11604.pdf)|
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|2023-07|H. Peiris and M. Harandi|Uncertainty-guided dual-views for semi-supervised volumetric medical image segmentation|[Code](https://github.com/himashi92/Co-BioNet)|[Nature Machine Intelligence](https://www.nature.com/articles/s42256-023-00682-w)|
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|2023-07|S. Gao and S. Zhang|Correlation-Aware Mutual Learning for Semi-supervised Medical Image Segmentation|[Code](https://github.com/Herschel555/CAML)|[MICCAI2023](https://arxiv.org/pdf/2307.06312.pdf)|
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|2023-07|Z. Xu and R. Tong|Ambiguity-selective consistency regularization for mean-teacher semi-supervised medical image segmentation|[Code](https://github.com/lemoshu/AC-MT)|[MedIA2023](https://www.sciencedirect.com/science/article/pii/S1361841523001408)|

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