An artificial intelligence model for the pathological diagnosis of invasion depth and histologic grade in bladder cancer

An artificial intelligence model for the pathological diagnosis of invasion depth and histologic grade in bladder cancer

Abstract Background Accurate pathological diagnosis of invasion depth and histologic grade is key for clinical management in patients with bladder cancer (BCa), but it is labour-intensive, experience-dependent and subject to interobserver variability. Here, we aimed to develop a pathological artific...

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Bibliographic Details
Main Authors: Jiexin Pan, Guibin Hong, Hong Zeng, Chengxiao Liao, Huarun Li, Yuhui Yao, Qinghua Gan, Yun Wang, Shaoxu Wu, Tianxin Lin
Format: Article
Language:English
Published: BMC 2023-01-01
Series:Journal of Translational Medicine
Subjects:
Artificial intelligence
Bladder cancer
Pathological diagnosis
Muscle invasion
Histologic grade
Online Access:https://doi.org/10.1186/s12967-023-03888-z

Internet

https://doi.org/10.1186/s12967-023-03888-z

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