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Journal ArticleOpen Access

COVID-19 Detection from Chest X-ray Images Using Feature Fusion and Deep Learning

Author Affiliations
Mawlana Bhashani Science and Technology University, Manchester Metropolitan University, Dhaka International University, Military University of Technology in Warsaw
Published InSensors
Year2021
Citations181

Abstract

Currently, COVID-19 is considered to be the most dangerous and deadly disease for the human body caused by the novel coronavirus. In December 2019, the coronavirus spread rapidly around the world, thought to be originated from Wuhan in China and is responsible for a large number of deaths. Earlier detection of the COVID-19 through accurate diagnosis, particularly for the cases with no obvious symptoms, may decrease the patient's death rate. Chest X-ray images are primarily used for the diagnosis of this disease. This research has proposed a machine vision approach to detect COVID-19 from the chest X-ray images. The features extracted by the histogram-oriented gradient (HOG) and convolutional neural network (CNN) from X-ray images were fused to develop the classification…
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