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.
ABSTRACT
The novel Corona virus 2019 (covid-19) is an infectious disease caused by severe acute respiratory syndrome Corona virus 2 ( SARS-COV-2).It was first originated in Wuhan, Hubei province, China in December 2019.Up to May 21,2020 about more than 5.23 million cases have been confirmed in which more than 3,38,000 people died all over the world. This Novel was provisionally named 2019-nCoV, now SARS-CoV-2 according to the ICT (International Committee on Taxonomy of Viruses). Since its discovery, the virus has spread globally, causing thousands of deaths and having enormous impact on our health systems and economies. Currently there is no definite treatment for COVID-19 although some promising drugs are administered in different places like Hydroxychloroquine an antimalarial drug and some other drugs used for symptomatic relief in corona virus. Hence diagnosis can be done based on symptoms and confirmed using RT-PCR testing. This review provides scientific information for better understanding of Novel disease.