Radiomics-based automated machine learning for differentiating focal liver lesions on unenhanced computed tomography.

Background & Aims: Enhanced computed tomography (CT) is the primary method for focal liver lesion diagnosis. We aimed to use automated machine learning (AutoML) algorithms to differentiate between benign and malignant focal liver lesions on the basis of radiomics from unenhanced CT images. Methods:...

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Bibliographic Details

Published in:	Abdominal Radiology Vol. 50; no. 5; pp. 2126 - 2140
Main Authors:	Yang, Nan, Ma, Zhuangxuan, Zhang, Ling, Ji, Wenbin, Xi, Qian, Li, Ming, Jin, Liang
Format:	Journal Article
Published:	Springer Nature May2025
Online Access:	View this record in EBSCOhost