Comparing a deep learning model’s diagnostic performance to that of radiologists to detect Covid -19 features on chest radiographs

Comparing a deep learning model’s diagnostic performance to that of radiologists to detect Covid -19 features on chest radiographs

Background: Whether the sensitivity of Deep Learning (DL) models to screen chest radiographs (CXR) for CoVID-19 can approximate that of radiologists, so that they can be adopted and used if real-time review of CXRs by radiologists is not possible, has not been explored before. Objective: To evaluate...

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Bibliographic Details
Main Authors: Sabitha Krishnamoorthy, Sudhakar Ramakrishnan, Lanson Brijesh Colaco, Akshay Dias, Indu K Gopi, Gautham AG Gowda, KC Aishwarya, Veena Ramanan, Manju Chandran
Format: Article
Language:English
Published: Thieme Medical and Scientific Publishers Pvt. Ltd. 2021-01-01
Series:Indian Journal of Radiology and Imaging
Subjects:
artificial intelligence
covid 19
cxr
deep learning
Online Access:http://www.thieme-connect.de/DOI/DOI?10.4103/ijri.IJRI_914_20

Internet

http://www.thieme-connect.de/DOI/DOI?10.4103/ijri.IJRI_914_20

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