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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

In this paper, we have trained several deep convolutional networks with introduced training techniques for classifying X-ray images into three classes: normal, pneumonia, and COVID-19, based on two open-source datasets. Our data contains 180 X-ray images that belong to persons infected with COVID-19...

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Detalhes bibliográficos
Publicado no:Inform Med Unlocked
Main Authors: Rahimzadeh, Mohammad, Attar, Abolfazl
Formato: Artigo
Idioma:Inglês
Publicado em: The Authors. Published by Elsevier Ltd. 2020
Assuntos:
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC7255267/
https://ncbi.nlm.nih.gov/pubmed/32501424
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.imu.2020.100360
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