Pathology-based deep learning features for predicting basal and luminal subtypes in bladder cancer

Pathology-based deep learning features for predicting basal and luminal subtypes in bladder cancer

Abstract Background Bladder cancer (BLCA) exists a profound molecular diversity, with basal and luminal subtypes having different prognostic and therapeutic outcomes. Traditional methods for molecular subtyping are often time-consuming and resource-intensive. This study aims to develop machine learn...

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Bibliographic Details
Main Authors: Zongtai Zheng, Fazhong Dai, Ji Liu, Yongqiang Zhang, Zhenwei Wang, Bangqi Wang, Xiaofu Qiu
Format: Article
Language:English
Published: BMC 2025-02-01
Series:BMC Cancer
Subjects:
Bladder cancer
Molecular subtypes
Deep learning features
Whole-slide images
Machine learning
Online Access:https://doi.org/10.1186/s12885-025-13688-x

Internet

https://doi.org/10.1186/s12885-025-13688-x

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