CT-based deep learning model to differentiate invasive pulmonary adenocarcinomas appearing as subsolid nodules among surgical candidates: comparison of the diagnostic performance with a size-based logistic model and radiologists.

Objectives: To evaluate the deep learning models for differentiating invasive pulmonary adenocarcinomas (IACs) among subsolid nodules (SSNs) considered for resection in a retrospective diagnostic cohort in comparison with a size-based logistic model and expert radiologists.Methods: This study includ...

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Bibliographic Details

Published in:	European Radiology Vol. 30; no. 6; pp. 3295 - 3306
Main Authors:	Kim, Hyungjin, Lee, Dongheon, Cho, Woo Sang, Lee, Jung Chan, Goo, Jin Mo, Kim, Hee Chan, Park, Chang Min
Format:	diagnostic images research tables/charts Journal Article
Published:	Springer Nature Jun2020
Online Access:	View this record in EBSCOhost