Primary liver cancer classification from routine tumour biopsy using weakly supervised deep learning

Primary liver cancer classification from routine tumour biopsy using weakly supervised deep learning

Background & Aims: The diagnosis of primary liver cancers (PLCs) can be challenging, especially on biopsies and for combined hepatocellular-cholangiocarcinoma (cHCC-CCA). We automatically classified PLCs on routine-stained biopsies using a weakly supervised learning method. Method: We select...

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Bibliographic Details
Main Authors: Aurélie Beaufrère, Nora Ouzir, Paul Emile Zafar, Astrid Laurent-Bellue, Miguel Albuquerque, Gwladys Lubuela, Jules Grégory, Catherine Guettier, Kévin Mondet, Jean-Christophe Pesquet, Valérie Paradis
Format: Article
Language:English
Published: Elsevier 2024-03-01
Series:JHEP Reports
Subjects:
Primary liver cancer
biopsy
histological slides
artificial intelligence
weakly supervised learning
Online Access:http://www.sciencedirect.com/science/article/pii/S2589555924000090

Internet

http://www.sciencedirect.com/science/article/pii/S2589555924000090

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