A Combined Image Segmentation and Classification Approach for COVID-19 Infected Lungs

Lung infection or sickness is one of the most common acute ailments in humans. Pneumonia lung infections, and annual global mortality rate from untreated pneumonia increasing. Because its rapid spread, caused by Coronavirus Disease (COVID-19) has emerged as a danger December 2019. At clinical level, COVID-19 frequently measured using Computed Tomography Scan Slice (CTS) Chest X-ray. The goal this study to develop an image processing method for analysing CT patients. images were preprocessed Hybrid Swarm Intelligence Fuzzy DPSO algorithms. According extensive computer simulations, persistent learning strategy segmentation enhancement more efficient adaptive than Medical Image Segmentation (MIS) method. findings suggest that proposed dependable, accurate, simple existing methods.