MDCNN - Modified Deep Convolutional Neural Network System for Classifying COVID-19 Image Dataset

Abstract

People affected by corona virus count are increasing day by day rapidly. Those affected people are facing a lot of health issues even though cured and back to normalcy. To address this challenge and taking preventive action measures to avoid disease spread, we propose a novel improved Modified deep CNN (M-CNN) architecture. This proposed system aims to construct a deep model for screening and predicting the chances of disease spread by monitoring human health changes using existing covid-19 CT scan images. The proposed model was trained using 1000 scan images collected from different resources and results in improved prediction accuracy of 93% which is comparatively higher than existing approaches.