Design of Hybrid Deep Learning Approach for Covid-19 Infected Lung Image Segmentation

Abstract 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 analyzing CTS patients. images were preprocessed Hybrid Swarm Intelligence Fuzzy DPSO algorithms. findings suggest that proposed more dependable, accurate, simple than existing methods.