Uncertainty-Guided Asymmetric Consistency Domain Adaptation for Histopathological Image Classification
Chenglin Yu,
Hailong Pei
Abstract:Deep learning has achieved remarkable progress in medical image analysis, but its effectiveness heavily relies on large-scale and well-annotated datasets. However, assembling a large-scale dataset of annotated histopathological images is challenging due to their unique characteristics, including various image sizes, multiple cancer types, and staining variations. Moreover, strict data privacy in medicine severely restricts data sharing and poses significant challenges in acquiring large-scale and well-annotate… Show more
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