Classificação de doenças respiratórias a partir de imagens raio-x de tórax usando redes neurais

Abstract

Early and accurate detection of respiratory diseases, such as COVID-19 and pneumonia, is extremely important for effective treatment and control of the spread of these diseases. With recent advances in machine learning techniques, particularly convolutional neural networks (CNNs), it has become possible to use X-ray images to aid in the classification of these diseases. In this article, we explore the application of neural networks in classification COVID-19 and pneumonia using X-ray images, discussing the challenges, approaches and results achieved so far