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Semi-supervised medical image segmentation (SSMIS) has witnessed substantial advancements by leveraging limited labeled data and abundant unlabeled data. Nevertheless, existing state-of-the-art (SOTA) methods encounter challenges in accurately predic
Externí odkaz:
http://arxiv.org/abs/2310.05082
Publikováno v:
In Medical Image Analysis October 2024 97
Publikováno v:
2022 China Automation Congress (CAC).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::100d4cb159ba1bb462d308ee998e7882
https://doi.org/10.1109/cac57257.2022.10055552
https://doi.org/10.1109/cac57257.2022.10055552