Optimization and Detection of Covid19 Patients by Using Image Description and Segmentation

A Study on Optimizing and Detecting COVID-19 Patients through Image Analysis

Abstract

COVID-19 is an overall scourge, as declared by the World Health Organization (WHO) in March 2020. Machine learning (ML) strategies can assume fundamental parts in distinguishing COVID-19 patients by outwardly breaking down their chest x-beam images. In this paper, another ML technique proposed to group the chest x-beam images into two classes, COVID-19 patient or non-COVID-19 man. In this examination we will learned about the optimization and the detection of COVID-19 patients by utilizing image preparing.