Does a Deep Learning–Based Computer-Assisted Diagnosis System Outperform Conventional Double Reading by Radiologists in Distinguishing Benign and Malignant Lung Nodules?

Does a Deep Learning–Based Computer-Assisted Diagnosis System Outperform Conventional Double Reading by Radiologists in Distinguishing Benign and Malignant Lung Nodules?

BackgroundIn differentiating indeterminate pulmonary nodules, multiple studies indicated the superiority of deep learning–based computer-assisted diagnosis system (DL-CADx) over conventional double reading by radiologists, which needs external validation. Therefore, our aim was to externally validat...

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Bibliographic Details
Main Authors: Zhou Liu, Li Li, Tianran Li, Douqiang Luo, Xiaoliang Wang, Dehong Luo
Format: Article
Language:English
Published: Frontiers Media S.A. 2020-10-01
Series:Frontiers in Oncology
Subjects:
computer-assisted diagnosis
deep learning
solitary pulmonary nodules
malignancy
differential diagnosis
Online Access:https://www.frontiersin.org/article/10.3389/fonc.2020.545862/full

Internet

https://www.frontiersin.org/article/10.3389/fonc.2020.545862/full

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