Original paper
Exploring prognostic indicators in the pathological images of hepatocellular carcinoma based on deep learning
Abstract
Tumour pathology contains rich information, including tissue structure and cell morphology, that reflects disease progression and patient survival. However, phenotypic information is subtle and complex, making the discovery of prognostic indicators from pathological images challenging.An interpretable, weakly supervised deep learning framework incorporating prior knowledge was proposed to analyse hepatocellular carcinoma (HCC) and explore new...
Paper Details
Title
Exploring prognostic indicators in the pathological images of hepatocellular carcinoma based on deep learning
Published Date
Sep 30, 2020
Journal
Volume
70
Issue
5
Pages
951 - 961
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Notes
History