Accurate Diagnosis and Survival Prediction of Bladder Cancer Using Deep Learning on Histological Slides

Accurate Diagnosis and Survival Prediction of Bladder Cancer Using Deep Learning on Histological Slides

(1) Background: Early diagnosis and treatment are essential to reduce the mortality rate of bladder cancer (BLCA). We aimed to develop deep learning (DL)-based weakly supervised models for the diagnosis of BLCA and prediction of overall survival (OS) in muscle-invasive bladder cancer (MIBC) patients...

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Bibliographic Details
Main Authors: Qingyuan Zheng, Rui Yang, Xinmiao Ni, Song Yang, Lin Xiong, Dandan Yan, Lingli Xia, Jingping Yuan, Jingsong Wang, Panpan Jiao, Jiejun Wu, Yiqun Hao, Jianguo Wang, Liantao Guo, Zhengyu Jiang, Lei Wang, Zhiyuan Chen, Xiuheng Liu
Format: Article
Language:English
Published: MDPI AG 2022-11-01
Series:Cancers
Subjects:
bladder cancer
deep learning
diagnosis
prognostic prediction
whole slide imaging
overall survival
Online Access:https://www.mdpi.com/2072-6694/14/23/5807

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