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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).
Publikováno v:
Transactions of the American Entomological Society. Jul2018, Vol. 144 Issue 2, p417-429. 13p.