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: Elgendi, Mohamed, Nasir, Muhammad Umer, Tang, Qunfeng, Smith, David, Grenier, John-Paul, Batte, Catherine, Spieler, Bradley, Leslie, William Donald, Menon, Carlo, Fletcher, Richard R, Howard, Newton, Ward, Rabab, Parker, William, Nicolaou, Savvas
Other Authors: Massachusetts Institute of Technology. Department of Urban Studies and Planning
Format: Article
Published: Frontiers Media SA 2021
Online Access:https://hdl.handle.net/1721.1/130233

Internet

https://hdl.handle.net/1721.1/130233

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