Artificial-Intelligence-Based Automatic Analysis of Urothelial Carcinomas – Our Experience

Artificial-Intelligence-Based Automatic Analysis of Urothelial Carcinomas – Our Experience

Diagnosing urothelial carcinoma (UC) is usually a quite simple task but requires thoroughly examination of several slides; cases with more than 10 slides are not uncommon. Thus, an automated method for histopathological analysis is more than welcome. We selected from our archives 105 patients (100...

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Main Authors: Sabina ZURAC, Bogdan CEACHI, Luciana NICHITA, Mirela CIOPLEA, Cristian MOGODICI, Cristiana POPP, Liana STICLARU, Mihai BUSCA, Alexandra CIOROIANU, Alexandra VILAIA, Julian GERALD DCRUZ, Petronel MUSTATEA, Carmen DUMITRU, Victor CAUNI, Oana STEFAN, Irina TUDOR, Alexandra BASTIAN
Format: Article
Language:English
Published: Iuliu Hatieganu University of Medicine and Pharmacy, Cluj-Napoca 2025-05-01
Series:Applied Medical Informatics
Subjects:
Artificial Intelligence
Urothelial Carcinoma
Tumor Grade
Invasion
Online Access:https://ami.info.umfcluj.ro/index.php/AMI/article/view/1184
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