Empowering Renal Cancer Management with AI and Digital Pathology: Pathology, Diagnostics and Prognosis

Empowering Renal Cancer Management with AI and Digital Pathology: Pathology, Diagnostics and Prognosis

Renal cell carcinoma is a significant health burden worldwide, necessitating accurate and efficient diagnostic methods to guide treatment decisions. Traditional pathology practices have limitations, including interobserver variability and time-consuming evaluations. In recent years, digital patholog...

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Bibliographic Details
Main Authors: Elena Ivanova, Alexey Fayzullin, Victor Grinin, Dmitry Ermilov, Alexander Arutyunyan, Peter Timashev, Anatoly Shekhter
Format: Article
Language:English
Published: MDPI AG 2023-10-01
Series:Biomedicines
Subjects:
digital pathology
deep learning
histological biomarkers
artificial intelligence
renal cell carcinoma
Online Access:https://www.mdpi.com/2227-9059/11/11/2875

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https://www.mdpi.com/2227-9059/11/11/2875

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