Deep learning-based model for prediction of early recurrence and therapy response on whole slide images in non-muscle-invasive bladder cancer: a retrospective, multicentre studyResearch in context

Deep learning-based model for prediction of early recurrence and therapy response on whole slide images in non-muscle-invasive bladder cancer: a retrospective, multicentre studyResearch in context

Summary: Background: Accurate prediction of early recurrence is essential for disease management of patients with non-muscle-invasive bladder cancer (NMIBC). We aimed to develop and validate a deep learning-based early recurrence predictive model (ERPM) and a treatment response predictive model (TR...

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Main Authors: Fan Jiang, Guibin Hong, Hong Zeng, Zhen Lin, Ye Liu, Abai Xu, Runnan Shen, Ye Xie, Yun Luo, Yun Wang, Mengyi Zhu, Hongkun Yang, Haoxuan Wang, Shuting Huang, Rui Chen, Tianxin Lin, Shaoxu Wu
Format: Article
Language:English
Published: Elsevier 2025-03-01
Series:EClinicalMedicine
Subjects:
Bladder cancer
Deep learning
Early recurrence
Therapy response
Multicentre study
Online Access:http://www.sciencedirect.com/science/article/pii/S2589537025000574
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