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Journal ArticleOpen Access

A combined deep CNN-LSTM network for the detection of novel coronavirus (COVID-19) using X-ray images

Author Affiliations
Khulna University of Engineering and Technology
Published InInformatics in Medicine Unlocked
Year2020
Citations623

Abstract

Nowadays, automatic disease detection has become a crucial issue in medical science due to rapid population growth. An automatic disease detection framework assists doctors in the diagnosis of disease and provides exact, consistent, and fast results and reduces the death rate. Coronavirus (COVID-19) has become one of the most severe and acute diseases in recent times and has spread globally. Therefore, an automated detection system, as the fastest diagnostic option, should be implemented to impede COVID-19 from spreading. This paper aims to introduce a deep learning technique based on the combination of a convolutional neural network (CNN) and long short-term memory (LSTM) to diagnose COVID-19 automatically from X-ray images. In this system, CNN is used for deep feature extraction and…
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