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Does imbalance in chest X-ray datasets produce biased deep learning approaches for COVID-19 screening?

2022·9 Zitationen·BMC Medical Research MethodologyOpen Access
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9

Zitationen

4

Autoren

2022

Jahr

Abstract

Multiple studies have been conducted in other fields in order to determine if certain patient characteristics such as sex or age influenced these deep learning systems. However, to the best of our knowledge, this study has not been done for COVID-19 despite the urgency and lack of COVID-19 chest x-ray images. The presented results evidenced that the proposed methodology and tested approaches allow a robust and reliable analysis to support the clinical decision-making process in this pandemic scenario.

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COVID-19 diagnosis using AIRadiomics and Machine Learning in Medical ImagingArtificial Intelligence in Healthcare and Education
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