Bladder cancer prognosis using deep neural networks and histopathology images

Bladder cancer prognosis using deep neural networks and histopathology images

Background: Recent studies indicate that bladder cancer is among the top 10 most common cancers in the world (Saginala et al. 2022). Bladder cancer frequently reoccurs, and prognostic judgments may vary among clinicians. As a favorable prognosis may help to inform less aggressive treatment plans, cl...

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Bibliographic Details
Main Authors: Wayner Barrios, Behnaz Abdollahi, Manu Goyal, Qingyuan Song, Matthew Suriawinata, Ryland Richards, Bing Ren, Alan Schned, John Seigne, Margaret Karagas, Saeed Hassanpour
Format: Article
Language:English
Published: Elsevier 2022-01-01
Series:Journal of Pathology Informatics
Subjects:
Bladder cancer
Computational pathology
Convolutional neural networks
Online Access:http://www.sciencedirect.com/science/article/pii/S2153353922007295

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http://www.sciencedirect.com/science/article/pii/S2153353922007295

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