A Short Contemporary Survey on Covid-19 Diagnosis

Abstract

As the new crown pneumonia epidemic continues to worsen, traditional diagnosis cannot satisfy the demand of the detection of disease. Therefore, it becomes necessary to use artificial intelligence to assist medical treatment to achieve efficient and accurate judgments. At present, deep learning is becoming more and more mature in the domain of medical image, which is capable to offer quicker, cheaper and safer diagnostic service for the person infected by COVID-19. This paper offers a comprehensive summary of the latest approaches and applications of deep learning in the domain of COVID-19. We summarized and analyzed some COVID-19 detection methods and models. Through research and analysis, deep learning can provide accurate and efficient diagnosis for COVID-19 classification.