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Article

Exploring prognostic indicators in the pathological images of hepatocellular carcinoma based on deep learning.

Gut - 1 May 2021

Shi Jie-Yi, Wang Xiaodong, Ding Guang-Yu, Dong Zhou, Han Jing, Guan Zehui, Ma Li-Jie, Zheng Yuxuan, Zhang Lei, Yu Guan-Zhen, Wang Xiao-Ying, Ding Zhen-Bin, Ke Ai-Wu, Yang Haoqing, Wang Liming, Ai Lirong, Cao Ya, Zhou Jian, Fan Jia, Liu Xiyang, Gao Qiang

Abstract excerpt

OBJECTIVE: 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. DESIGN: An interpretable, weakly supervised deep learning framework incorporating prior knowledge was proposed to...

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Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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Identifiers

PMID: 32998878
DOI: 10.1136/gutjnl-2020-320930

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 6 Sept 2026. Manifest publication-graph-cohort-2026-09-06.1.

Source receipt: pubmed, retrieved 6 Sept 2026.

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