Use of radiomics based on 18F-FDG PET/CT and machine learning methods to aid clinical decision-making in the classification of solitary pulmonary lesions: an innovative approach.

Purpose: This study was designed and performed to assess the ability of 18F-fluorodeoxyglucose (FDG) positron emission tomography (PET) and computed tomography (CT) radiomics features combined with machine learning methods to differentiate between primary and metastatic lung lesions and to classify...

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Bibliographic Details

Published in:	European Journal of Nuclear Medicine & Molecular Imaging Vol. 48; no. 9; pp. 2904 - 2914
Main Authors:	Zhou, Yi, Ma, Xue-lei, Zhang, Ting, Wang, Jian, Zhang, Tao, Tian, Rong
Format:	Journal Article
Published:	Springer Nature Aug2021
Online Access:	View this record in EBSCOhost