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

Rahimzadeh, Mohammad; Attar, Abolfazl

doi:10.1016/j.imu.2020.100360

Public

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

Published in Informatics in Medicine Unlocked • Jan 1, 2020

Authors:

Mohammad Rahimzadeh

Abolfazl Attar

Abstract

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...

Subject

Concatenation (mathematics)

Artificial intelligence

Convolutional neural network

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