DETECTION OF COVID-19 FROM CHEST X-RAY IMAGES USING DEEP LEARNING APPROACHES
DOI:
https://doi.org/10.59743/jbs.v35i2.4Keywords:
Covid-19, Chest X-ray, Deep Learning , Convolutional Neural Networks (CNNs), VGG16Abstract
COVID-19 was discovered as a novel disease pneumonia in the city of Wuhan, China at the end of 2019. Now,it becomes a Coronavirus subsequently spread worldwide, the number of infected people and deaths are increasing rapidly every day according to the updated reports of the World Health Organization (WHO).
Daily increase in cases of COVID-19 patients worldwide and limited number of available detection equipment difficulty in recognize the presence of disease, also problem of a lack of specialized physicians in remote villages too Therefore, we applied Learning model for image classification by Convolutional Neural Networks (CNN) then we used VGG16 model as example for CNN where the goal is to predict from a Chest X-Ray if a person might have COVID
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