Deep learning algorithms for lung disease detection using chest ct scan and cxr imaging system

Abstract

The SARS-CoV-2 virus is the cause of the infectious illness called Coronavirus Disease (COVID-19). On December 2019, in Wuhan, China authorities identified the 1st COVID-19 infected case. This COVID-19 sickness started to spread over the nations turning into a pandemic. Most virus-infected people will experience mild to severe respiratory illness, but they will recover without the need for special care. However, some people will get severe ailments and require medical attention. Elderly people and people with underlying medical conditions including cardiovascular disease, chronic respiratory problems, diabetes, or cancer are more prone to have serious illness. COVID-19 can lead anybody to get severe sick or casualty at any stage. Although COVID-19 signs and indications might differ, it often includes fever, cough, headache, fatigue, breathing problems, loss of smell, as well as taste. Symptoms may start to show one to fourteen days following virus exposure. At least one-third of those with the infection show no symptoms at all. Most persons (81%) who experience symptoms that are obvious enough to be classified as patients do so because they are mild to moderately ill, including mild pneumonia. 14% of people with symptoms that are severe have hypoxia, dyspnoea, and at least 50fifty percent lung connection on imaging, and five percent have serious symptoms, such as failure of respiratory system, shock, and multiorgan disfunction. Old people are highly prone to critical symptoms. A laboratory method known as Real-time Reverse Transcription Polymerase Chain Reaction (RT-PCR) testing procedures is utilized to identify the nucleic acid of corona virus. RT-PCR combines the reverse transcript of Ribonucleic Acid (RNA) into Deoxyribonucleic Acid (DNA) (also referred as complementary DNA or copy DNA (cDNA) in this context) with the intensification of specified DNA boards via Polymerase Chain Reaction (PCR). newline