Research Progress of Deep Learning in Bladder Cancer Pathology

Research Progress of Deep Learning in Bladder Cancer Pathology

The incidence of bladder cancer is increasing annually, and the gold standard for its diagnosis relies on histopathological biopsy. Whole-slide digitization technology can produce thousands of high-resolution captured pathological images and has greatly promoted the development of digital pathology....

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Bibliographic Details
Main Authors: ZHENG Qingyuan, YANG Rui, WANG Lei, CHEN Zhiyuan, LIU Xiuheng
Format: Article
Language:zho
Published: Magazine House of Cancer Research on Prevention and Treatment 2023-01-01
Series:Zhongliu Fangzhi Yanjiu
Subjects:
artificial intelligence
deep learning
bladder cancer
pathological images
digital pathology
precision medicine
Online Access:http://www.zlfzyj.com/EN/10.3971/j.issn.1000-8578.2023.22.0704

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http://www.zlfzyj.com/EN/10.3971/j.issn.1000-8578.2023.22.0704

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