Using Deep Learning Neural Networks To Classify X-Ray Images

Abstract

In early 2020, the virus known as COVID-19 emerged as a significant global public health concern. The urgent need to diagnose infected individuals quickly led to the development of diagnostic equipment. However, this situation also raised concerns regarding the effectiveness and reliability of such equipment. In this paper, we present an alternative approach using deep learning neural networks to diagnose patients. Our method uses a convolutional neural network (CNN) model capable of classifying COVID-19 using X-ray images of patients' lungs. We uploaded two sets of X-ray images categorized into subclasses of Normal, Covid, and Virus, and trained a MobileNet model. The trained MobileNet model showed capabilities in accurately classifying X-ray images among the three classes. This approach has the potential for further development and application in the future to benefit the medical field.