MAMILNet: advancing precision oncology with multi-scale attentional multi-instance learning for whole slide image analysis

BackgroundWhole Slide Image (WSI) analysis, driven by deep learning algorithms, has the potential to revolutionize tumor detection, classification, and treatment response prediction. However, challenges persist, such as limited model generalizability across various cancer types, the labor-intensive...

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Auteurs principaux:	Qinqing Wang, Qiu Bi, Linhao Qu, Yuchen Deng, Xianhong Wang, Yijun Zheng, Chenrong Li, Qingyin Meng, Kun Miao
Format:	Artigo
Langue:	Inglês
Publié:	Frontiers Media S.A. 2024-04-01
Collection:	Frontiers in Oncology
Sujets:	whole slide image analysis multiple instance learning cancer diagnosis multi-scale attention deep learning
Accès en ligne:	https://www.frontiersin.org/articles/10.3389/fonc.2024.1275769/full
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