Radiomics and Deep Learning as Important Techniques of Artificial Intelligence — Diagnosing Perspectives in Cytokeratin 19 Positive Hepatocellular Carcinoma

Radiomics and Deep Learning as Important Techniques of Artificial Intelligence — Diagnosing Perspectives in Cytokeratin 19 Positive Hepatocellular Carcinoma

Fei Wang,1 Chunyue Yan,2 Xinlan Huang,3 Jiqiang He,1 Ming Yang,1 Deqiang Xian4 1Department of Radiology, Luzhou People’s Hospital, Luzhou, 646000, People’s Republic of China; 2Department of Emergency Medicine, Luzhou People’s Hospital, Luzhou, 646000, People’s Republic of China; 3Department of Medic...

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Bibliographic Details
Main Authors: Wang F, Yan C, Huang X, He J, Yang M, Xian D
Format: Article
Language:English
Published: Dove Medical Press 2025-06-01
Series:Journal of Hepatocellular Carcinoma
Subjects:
Hepatocellular carcinoma
Cytokeratin 19
Radiomics
Deep learning
Artificial intelligence
Systematic review
Online Access:https://www.dovepress.com/radiomics-and-deep-learning-as-important-techniques-of-artificial-inte-peer-reviewed-fulltext-article-JHC
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