A New Method of Artificial-Intelligence-Based Automatic Identification of Lymphovascular Invasion in Urothelial Carcinomas

A New Method of Artificial-Intelligence-Based Automatic Identification of Lymphovascular Invasion in Urothelial Carcinomas

The presence of lymphovascular invasion (LVI) in urothelial carcinoma (UC) is a poor prognostic finding. This is difficult to identify on routine hematoxylin–eosin (H&E)-stained slides, but considering the costs and time required for examination, immunohistochemical stains for the endothelium ar...

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Bibliographic Details
Main Authors: Bogdan Ceachi, Mirela Cioplea, Petronel Mustatea, Julian Gerald Dcruz, Sabina Zurac, Victor Cauni, Cristiana Popp, Cristian Mogodici, Liana Sticlaru, Alexandra Cioroianu, Mihai Busca, Oana Stefan, Irina Tudor, Carmen Dumitru, Alexandra Vilaia, Alexandra Oprisan, Alexandra Bastian, Luciana Nichita
Format: Article
Language:English
Published: MDPI AG 2024-02-01
Series:Diagnostics
Subjects:
artificial intelligence
urothelial carcinoma
lymphovascular invasion
Online Access:https://www.mdpi.com/2075-4418/14/4/432

Internet

https://www.mdpi.com/2075-4418/14/4/432

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