Deep learning model for detection of COVID-19 utilizing the chest X-ray images

• DOI: 10.1080/23311916.2022.2079221
• Publication Date: 2022-05-29T17:53:00Z
• Authors: Shahanaz Abdul Ga...; Niranjana Sampathila; Madhushankara M; Swathi K S
• Keywords: Pandemic; Modalities

The COVID-19 pandemic has caused more than 200 million infected cases and 4 deaths across the world. triggered a massive epidemic, with significant effect on health lives of many people worldwide. Early detection this disease is very important for maintaining social well-being. Generally, RT-PCR test diagnosis method used COVID-19, yet it not only reliable diagnostic tool. In study, we discuss image-based modalities coronavirus utilizing Deep Learning methodology, which one most innovative technologies today proven to be an efficient solution number medical conditions. Coronavirus affects respiratory tract individuals. One best ways identify from chest radiography images. research demonstrated unique anomalies in radiographs covid-positive patients. By using Multi-layered networks, classified images as covid positive or negative. proposed model uses dataset patients Coronavirus, radiologist indicated multilobar involvements X-rays. A total 6500 have been considered study. convolutional network (CNN) was trained validation accuracy 94% obtained.