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NMGrad: Advancing Histopathological Bladder Cancer Grading with Weakly Supervised Deep Learning

The most prevalent form of bladder cancer is urothelial carcinoma, characterized by a high recurrence rate and substantial lifetime treatment costs for patients. Grading is a prime factor for patient risk stratification, although it suffers from inconsistencies and variations among pathologists. Mor...

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Principais autores: Saul Fuster, Umay Kiraz, Trygve Eftestøl, Emiel A. M. Janssen, Kjersti Engan
Format: Artigo
Sprog:Inglês
Udgivet: MDPI AG 2024-09-01
Serier:Bioengineering
Fag:
computational pathology
deep learning
grading
multiscale
urothelial carcinoma
weakly supervised learning
Online adgang:https://www.mdpi.com/2306-5354/11/9/909
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