Performance of a HER2 testing algorithm tailored for urothelial bladder cancer: A Bi-centre study

Performance of a HER2 testing algorithm tailored for urothelial bladder cancer: A Bi-centre study

Aims: This study aimed to develop an AI algorithm for automated HER2 scoring in urothelial bladder cancer (UBCa) and assess the interobserver agreement using both manual and AI-assisted methods based on breast cancer criteria. Methods and Results: We utilized 330 slides from two institutions for ini...

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Bibliographic Details
Main Authors: Aoling Huang, Yizhi Zhao, Feng Guan, Hongfeng Zhang, Bin Luo, Ting Xie, Shuaijun Chen, Xinyue Chen, Shuying Ai, Xianli Ju, Honglin Yan, Lin Yang, Jingping Yuan
Format: Article
Language:English
Published: Elsevier 2024-12-01
Series:Computational and Structural Biotechnology Journal
Subjects:
Artificial intelligence
Bladder cancer
HER2-low
Heterogeneity
Online Access:http://www.sciencedirect.com/science/article/pii/S2001037024003271
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