Explainable COVID-19 Detection Based on Chest X-rays Using an End-to-End RegNet Architecture

Explainable COVID-19 Detection Based on Chest X-rays Using an End-to-End RegNet Architecture

COVID-19,which is caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), is one of the worst pandemics in recent history. The identification of patients suspected to be infected with COVID-19 is becoming crucial to reduce its spread. We aimed to validate and test a deep learning...

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Bibliographic Details
Main Authors: Mohamed Chetoui, Moulay A. Akhloufi, El Mostafa Bouattane, Joseph Abdulnour, Stephane Roux, Chantal D’Aoust Bernard
Format: Article
Language:English
Published: MDPI AG 2023-06-01
Series:Viruses
Subjects:
RegNet
convolutional neural networks
COVID-19
deep learning
Online Access:https://www.mdpi.com/1999-4915/15/6/1327

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