Radiomics and Deep Learning: Hepatic Applications.

Radiomics and Deep Learning: Hepatic Applications.
Korean J Radiol. 2020 Apr;21(4):387-401
Authors: Park HJ, Park B, Lee SS
Abstract
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.
PMID: 32193887 [PubMed - in process]

Source: Korean J Radiol - March 21, 2020 Category: Radiology Authors: Park HJ, Park B, Lee SS Tags: Korean J Radiol Source Type: research