COVID-19 Detection based on Lung CT Images using Convolutional Neural Network Architecture

Abstract: A CNN (Convolutional Neural Network) is a class of deep neural networks that are most used for analyzing visual imagery. This the widely learning algorithm image and video recognition, classification, segmentation, medical analysis natural language processing, many more. But, training Network from scratch requires more time lot data, performance model affected. ‘Transfer learning’ best approach where existing architectures have been trained on large datasets then fine-tuned our customized dataset. reduces to train often results in better performance. The main objective this paper detect COVID-19 lung CT images using VGG16 ImageNet.   Index Terms: CNN, Transfer learning, VGG16, ImageNet.