The Effectiveness of Image Augmentation in Deep Learning Networks for Detecting COVID-19: A Geometric Transformation Perspective

The Effectiveness of Image Augmentation in Deep Learning Networks for Detecting COVID-19: A Geometric Transformation Perspective

Chest X-ray imaging technology used for the early detection and screening of COVID-19 pneumonia is both accessible worldwide and affordable compared to other non-invasive technologies. Additionally, deep learning methods have recently shown remarkable results in detecting COVID-19 on chest X-rays, m...

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Bibliographic Details
Main Authors: Mohamed Elgendi, Muhammad Umer Nasir, Qunfeng Tang, David Smith, John-Paul Grenier, Catherine Batte, Bradley Spieler, William Donald Leslie, Carlo Menon, Richard Ribbon Fletcher, Newton Howard, Rabab Ward, William Parker, Savvas Nicolaou
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-03-01
Series:Frontiers in Medicine
Subjects:
radiology
corona virus
transfer learning
data augmentation
chest X-ray
digital health
Online Access:https://www.frontiersin.org/articles/10.3389/fmed.2021.629134/full

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https://www.frontiersin.org/articles/10.3389/fmed.2021.629134/full

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