COVID-19 IMAGE CLASSIFICATION USING VGG-16 & CNN BASED ON CT SCANS

COVID-19 IMAGE CLASSIFICATION USING VGG-16 & CNN BASED ON CT SCANS

¹Shivasangaiah. V. Hiremath, ²P. Yogananth

¹PG Scholar, ²Assistant Professor

Department of Computer Science & Engineering

Er. Perumal Manimekalai College of Engineering

Hosur, India.

Abstract

The main purpose of this work is to investigate and compare several deep learning enhanced techniques applied to CT Scan medical images for the detection of COVID-19. In this proposed work we are going to build two Covid-19 Image classification models. Both the model uses Lungs CTScan images to classify the Covid-19. We build the first Classification model using VGG-16 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