Analysis and prediction of COVID-19 disease using CNN-ResNet algorithm

ABSTRACT

In this paper presents the deep learning diagnostic functions for chest x-rays and a COVID-Net-based image classifier for classifying chest x-ray images. In this article, we use model integration and transfer learning to classify chest x-rays in two ways covid and non-covid. CNN can be used to make our result, which is more sensitive than radiologists in the detection and diagnosis of lung modules. According to the precision and loss value, choose the CNN model with good effect for the fusion and dynamically improve your weight ratio during the training process. This algorithm, using the RESNET50 model, is more sensitive than radiologists in screening and diagnosing lung modules.