Recalibration of deep learning models for abnormality detection in smartphone-captured chest radiograph

Recalibration of deep learning models for abnormality detection in smartphone-captured chest radiograph

Abstract Image-based teleconsultation using smartphones has become increasingly popular. In parallel, deep learning algorithms have been developed to detect radiological findings in chest X-rays (CXRs). However, the feasibility of using smartphones to automate this process has yet to be evaluated. T...

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Bibliographic Details
Main Authors: Po-Chih Kuo, Cheng Che Tsai, Diego M. López, Alexandros Karargyris, Tom J. Pollard, Alistair E. W. Johnson, Leo Anthony Celi
Format: article
Language:EN
Published: Nature Portfolio 2021
Subjects:
Computer applications to medicine. Medical informatics
R858-859.7
Online Access:https://doaj.org/article/69292020cb6c4ee48dd996efb58bb8fb
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