A modified deep convolutional neural network for detecting COVID-19 and pneumonia from chest X-ray images based on the concatenation of Xception and ResNet50V2.

Content Provider	Europe PMC
Author	Rahimzadeh, Mohammad Attar, Abolfazl
Copyright Year	2020
Related Links	https://europepmc.org/backend/ptpmcrender.fcgi?accid=PMC7255267&blobtype=pdf
Journal	Informatics in Medicine Unlocked [Inform Med Unlocked]
Volume Number	19
DOI	10.1016/j.imu.2020.100360
PubMed Central reference number	PMC7255267
PubMed reference number	32501424
e-ISSN	23529148
Language	English
Publisher	The Authors. Published by Elsevier Ltd.
Publisher Date	2020-05-26
Access Restriction	Open
Rights License	Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. © 2020 The Authors
Subject Keyword	Deep learning Convolutional neural networks COVID-19 Coronavirus Transfer learning Deep feature extraction Chest X-ray images
Content Type	Text
Resource Type	Article
Subject	Health Informatics