Detecting COVID-19 Symptoms using X-ray Image with Deep Learning Algorithm
VINITHA S1
Mr. SENTHIL KUMAR P2
Final year ECE PG student1, Professor ECE2
VELALAR COLLEGE OF ENGINEERING AND TECHNOLOGY,
ERODE, TAMIL NADU,
INDIA- 638012
Abstract— Since the new coronavirus SARS-CoV-2 outbreak, ferocious exploration has been conducted to find suitable tools for opinion and relating to infected people in order to take applicable action. Chest imaging plays a significant part in this phase where CT and X Rays reviews have proven to be effective in detecting COVID-19 within the lungs. In this exploration, we propose deep literacy models using Transfer learning to describe COVID-19. BothX-ray and CT reviews were considered to estimate the proposed method.
Keywords— COVID-19, medical imaging,Transfer Learning, Deep Learning, Chest XRay Images, CT Scans
1.INTRODUCTION
In December 2019, the first case of the novel coronavirus pneumonia (COVID-19) was confirmed in Wuhan, China. In just two months, the number of confirmed cases rose to nearly 1000, with more than 5000 suspected cases. By September 2020, the novel coronavirus pneumonia epidemic had spread across the world, and the number of confirmed cases increased daily.
In the early stages of the epidemic, people knew very little about the novel coronavirus. According to the “Novel Coronavirus Diagnosis and Treatment Plan for Pneumonia infected by Bat disease (Trial Version 5),” released by the China National Health Commission on February 4, 2020, and the explanation by Dr. Nanshan Zhong of the COVID-19 epidemic, the novel coronavirus and SARS bat-like coronavirus (Bat-SL-CoVZC45) have over 85% homologies, belonging to the same family but not being the same kind [1]. On February 9, 2020, the team of academician Zhong Nanshan published a paper on the analysis of the clinical characteristics of the novel coronavirus pneumonia in China [2]. The study of 1099 positive patients and analysis of clinical samples revealed a number of clinical features of the novel coronavirus pneumonia infection, emphasising the main symptoms and radiological characteristics of the patient. In the diagnosis and treatment plan of the “Novel Coronavirus Infection Pneumonia Diagnosis and Treatment Plan (Trial Version 7),” issued by the National Health Commission [3], in addition to an incubation period of 1–14 days of isolation, observation based on epidemiological investigations, according to the clinical manifestations of pneumonia symptoms, characteristics of disease signs, laboratory nasopharyngeal swabs, nucleic acid test results of negative/positive, and effective oxygen therapy combined with antiviral and antimicrobial therapy, the most important diagnostic criterion is chest imaging.
