Deep learning-based detection system for multiclass lesions on chest radiographs: comparison with observer readings.

Objective: To investigate the feasibility of a deep learning-based detection (DLD) system for multiclass lesions on chest radiograph, in comparison with observers.Methods: A total of 15,809 chest radiographs were collected from two tertiary hospitals (7204 normal and 8605 abnormal with nodule/mass,...

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Bibliographic Details

Published in:	European Radiology Vol. 30; no. 3; pp. 1359 - 1369
Main Authors:	Park, Sohee, Lee, Sang Min, Lee, Kyung Hee, Jung, Kyu-Hwan, Bae, Woong, Choe, Jooae, Seo, Joon Beom
Format:	Journal Article
Published:	Springer Nature 2020
Online Access:	View this record in EBSCOhost