Whole-Slide Image Classification via Deep Feature Fusion and Unsupervised Conditional Domain Adaptation

Deep learning models have received widespread attention in pathological image classification and recognition tasks. However, their performance relies on large amounts of annotated data, which are difficult to obtain for pathological images, severely limiting model generalization. Moreover, whole-sli...

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Hlavní autoři:	Pin Wang, Jinhua Zhang, Yongming Li, Tianqi Long, Pufei Li
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	MDPI AG 2026-02-01
Edice:	Applied Sciences
Témata:	unsupervised domain adaptation classification of whole-slide images deep feature fusion conditional domain alignment
On-line přístup:	https://www.mdpi.com/2076-3417/16/5/2310
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