Machine Learning Quantified Tumor-Stroma Ratio Is an Independent Prognosticator in Muscle-Invasive Bladder Cancer

Machine Learning Quantified Tumor-Stroma Ratio Is an Independent Prognosticator in Muscle-Invasive Bladder Cancer

Although the tumor-stroma ratio (TSR) has prognostic value in many cancers, the traditional semi-quantitative visual assessment method has inter-observer variability, making it impossible for clinical practice. We aimed to develop a machine learning (ML) algorithm for accurately quantifying TSR in h...

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Bibliographic Details
Main Authors: Qingyuan Zheng, Zhengyu Jiang, Xinmiao Ni, Song Yang, Panpan Jiao, Jiejun Wu, Lin Xiong, Jingping Yuan, Jingsong Wang, Jun Jian, Lei Wang, Rui Yang, Zhiyuan Chen, Xiuheng Liu
Format: Article
Language:English
Published: MDPI AG 2023-02-01
Series:International Journal of Molecular Sciences
Subjects:
tumor-stroma ratio
whole slide image
machine learning
prognosis prediction
muscle-invasive bladder cancer
Online Access:https://www.mdpi.com/1422-0067/24/3/2746

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