Prediction of visceral pleural invasion in lung cancer on CT: deep learning model achieves a radiologist-level performance with adaptive sensitivity and specificity to clinical needs.

Objectives: To develop and validate a preoperative CT-based deep learning model for the prediction of visceral pleural invasion (VPI) in early-stage lung cancer.Methods: In this retrospective study, dataset 1 (for training, tuning, and internal validation) included 676 patients with clinical stage I...

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Bibliographic Details

Published in:	European Radiology Vol. 31; no. 5; pp. 2866 - 2877
Main Authors:	Choi, Hyewon, Kim, Hyungjin, Hong, Wonju, Park, Jongsoo, Hwang, Eui Jin, Park, Chang Min, Kim, Young Tae, Goo, Jin Mo
Format:	diagnostic images research tables/charts Journal Article
Published:	Springer Nature May2021
Online Access:	View this record in EBSCOhost