Deep learning-enabled multiphoton microscopy predicts colorectal cancer recurrence from routine FFPE specimens

Abstract Colorectal cancer recurrence remains a major challenge after curative resection, and accurate tools for early risk assessment are essential to stratify patients and guide personalized therapeutic planning. We developed MPMRecNet, a dual-stream deep learning model for predicting recurrence u...

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Главные авторы:	Yabing Yang, Chanchan Xiao, Dehua Zou, Lu Wang, Ruijie Yang, Yiran Zhang, Lei Zhang, Zhan Zhao, Shenghui Qiu, Shijin Liu, Yu Bai, Wang-Yang Sun, Rong-Rong He, Guobing Chen, Tianwang Li, Oscar Junhong Luo, Wei Jiang
Формат:	Artigo
Язык:	Inglês
Опубликовано:	Nature Portfolio 2025-11-01
Серии:	npj Digital Medicine
Online-ссылка:	https://doi.org/10.1038/s41746-025-02058-3
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