"Weakly supervised deep learning for predicting the response to hormonal ..."

Seyed M. M. Kahaki et al. (2023)

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DOI: 10.1117/12.2652912

access: closed

type: Conference or Workshop Paper

metadata version: 2024-12-05

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Seyed M. M. Kahaki, Ian S. Hagemann, Kenny H. Cha, Christopher J. Trindade, Nicholas Petrick, Nicolas Kostelecky, Weijie Chen:
Weakly supervised deep learning for predicting the response to hormonal treatment of women with atypical endometrial hyperplasia: a feasibility study. Digital and Computational Pathology 2023

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