Journal
KOREAN JOURNAL OF RADIOLOGY
Volume 21, Issue 4, Pages 387-401Publisher
KOREAN RADIOLOGICAL SOC
DOI: 10.3348/kjr.2019.0752
Keywords
Radiomics; Deep learning; Artificial intelligence; Computer-assisted; Liver
Funding
- Basic Science Research Program through the National Research Foundation of Korea (NRF) - Ministry of Science, ICT and Future Planning [NRF-2017R1A2B4003114]
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Radiomics and deep learning have recently gained attention in the imaging assessment of various liver diseases. Recent research has demonstrated the potential utility of radiomics and deep learning in staging liver fibroses, detecting portal hypertension, characterizing focal hepatic lesions, prognosticating malignant hepatic tumors, and segmenting the liver and liver tumors. In this review, we outline the basic technical aspects of radiomics and deep learning and summarize recent investigations of the application of these techniques in liver disease.
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