COVID-19 Image Classification Using VGG-16 & CNN based on CT Scans

Abstract

Abstract: The main purpose of this work is to investigate and compare several deep learning enhanced techniques applied to CTscan medical images for the detection of COVID-19. In this proposed work we are going to build two Covid19 Image classification models. Both the model uses Lungs CT Scan images to classify the covid-19. We build the first Classification model using VGG16 Transfer leaning framework and second model using Deep Learning Technique Convolutional Neural Network CNN to classify and diagnose the disease and we able to achieve the best accuracy in both the model. Keywords: Visual Geometry Group-VGG16, Convolutional Neural Network-CNN, CT Images, X-Ray, rTPCR