COVID-19 Detection from X-rays using Deep Learning Model

ABSTRACT

Currently, COVID-19 has posed a significant threat to everyone, including the health professionals and administrations worldwide, from its detection to its treatment. The whole world is facing a lockdown-like situation because of the COVID-19 pandemic. The researchers are making efforts to obtain the possible solutions to control this pandemic in their respective areas. The researchers’ most common and efficient methods are the use of CT-scans and X-rays images to analyze the images of lungs for COVID-19 detection. A strategy based on artificial intelligence is used to detect COVID-19 patients utilizing the actual world datasets of X-ray CT scan chest pictures, based on a deep learning neural coexistence network. In order to detect such patients, we study chest X-ray pictures. Our results show that such an analysis is useful in determining COVID-19, as X-rays are readily obtainable at cheap prices and promptly. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.