Weakly supervised learning in thymoma histopathology classification: an interpretable approach

IntroductionThymoma classification is challenging due to its diverse morphology. Accurate classification is crucial for diagnosis, but current methods often struggle with complex tumor subtypes. This study presents an AI-assisted diagnostic model that combines weakly supervised learning with a divid...

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Main Authors: Chunbao Wang, Xianglong Du, Xiaoyu Yan, Xiali Teng, Xiaolin Wang, Zhe Yang, Hongyun Chang, Yangyang Fan, Caihong Ran, Jie Lian, Chen Li, Hansheng Li, Lei Cui, Yina Jiang
Format: Article
Language:English
Published: Frontiers Media S.A. 2024-12-01
Series:Frontiers in Medicine
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Online Access:https://www.frontiersin.org/articles/10.3389/fmed.2024.1501875/full
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