Prototypical multiple instance learning for predicting lymph node metastasis of breast cancer from whole-slide pathological images

Computerized identification of lymph node metastasis of breast cancer (BCLNM) from whole-slide pathological images (WSIs) can largely benefit therapy decision and prognosis analysis. Besides the general challenges of computational pathology, like extra-high resolution, very expensive fine-grained an...

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Veröffentlicht in:	Medical image analysis 2023-04, Vol.85, p.102748-102748, Article 102748
Hauptverfasser:	Yu, Jin-Gang, Wu, Zihao, Ming, Yu, Deng, Shule, Li, Yuanqing, Ou, Caifeng, He, Chunjiang, Wang, Baiye, Zhang, Pusheng, Wang, Yu
Format:	Artikel
Sprache:	eng
Schlagworte:	Breast cancer Computational pathology Lymph node metastasis Prototypical multiple instance learning Whole-slide images
Online-Zugang:	Volltext
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