Siamese evolutionary masking: Enhancing the generalization of self-supervised medical image segmentation model
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Self-supervised learning autonomously extracts features from unlabeled data, supporting downstream segmentation tasks with limited annotations. However, variations in devices, imaging parameters, and other factors lead to differences in the distribution of med... ...
