A Novel Cascaded-Deep Learning Classifier for Diagnosis of Covid19 and Pneumonia Disease in Chest X-Ray

Abstract

Computer-aided diagnosis (CAD) systems are considered a powerful tool forphysicians to
support identification of the novel Coronavirus Disease 2019(COVID-19) using medical imaging
modalities. Therefore, this article proposes anew framework of cascaded deep learning classifiers
to enhance the performanceof these CAD systems for highly suspected COVID-19 and
pneumonia diseases inX-ray images. Our proposed deep learning framework constitutes two
majoradvancements as follows. First, complicated multi-label classification of X-rayimages have
been simplified using a series of binary classifiers for each testedcase of the health
status.