Infproto-Powered Adaptive Classifier and Agnostic Feature Learning for Single Domain Generalization in Medical Images

Infproto-Powered Adaptive Classifier and Agnostic Feature Learning for Single Domain Generalization in Medical Images

Designing a single domain generalization (DG) framework that generalizes from one source domain to arbitrary unseen domains is practical yet challenging in medical image segmentation, mainly due to the domain shift and limited source domain information. To tackle these issues, we reason that domain-...

Bibliografiset tiedot
Päätekijät:	Guo, X, Liu, J, Yuan, Y
Aineistotyyppi:	Journal article
Kieli:	English
Julkaistu:	Springer 2024

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