AI-based digital histopathology for perihilar cholangiocarcinoma: A step, not a jump

AI-based digital histopathology for perihilar cholangiocarcinoma: A step, not a jump

Introduction: Perihilar cholangiocarcinoma (PHCC) is a rare malignancy with limited survival prediction accuracy. Artificial intelligence (AI) and digital pathology advancements have shown promise in predicting outcomes in cancer. We aimed to improve prognosis prediction for PHCC by combining AI-bas...

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Bibliographic Details
Main Authors: Dieter P. Hoyer, Saskia Ting, Nina Rogacka, Sven Koitka, René Hosch, Nils Flaschel, Johannes Haubold, Eugen Malamutmann, Björn-Ole Stüben, Jürgen Treckmann, Felix Nensa, Giulia Baldini
Format: Article
Language:English
Published: Elsevier 2024-12-01
Series:Journal of Pathology Informatics
Subjects:
Klatskin
Cholangiocarcinoma
Survival analysis
Segmentation
Digital pathology
Artificial intelligence
Online Access:http://www.sciencedirect.com/science/article/pii/S2153353923001591
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