Review on COVID-19 Detection Method Based on Deep Learning

Abstract

This article discusses the use of deep learning in combating Covid-19. It has been four years since Covid-19 ravaged the world. We hope to help researchers and medical staff through our investigation. Deep learning is a very effective method, which has a wide range of functions. Deep learning neural network is very suitable for fighting against covid. We will also introduce the information of this article in detail. Because neural network is mainly used to fight against CT in tumor and other diseases. First, I introduce the main image types. This is mainly CT type. I introduced the main features of this figure.Then we introduce the problem of image classification. Here we use convolutional neural network and its optimization scheme. At last, the problem of object recognition and image segmentation is introduced. It is hoped that it will aid in the rapid adoption of deep learning in COVID-19 research. I also try my best to contribute to this research. In recent years, in-depth learning has played a vital role in all fields. Especially in medicine, we hope that through this report, we can give you a deeper understanding of deep learning.