Deep Chest: Computer Vision and Deep Learning for Lung Disease Detection

Abstract

Lung disease is one of the most common medical conditions in the world. Pulmonary diseases happen when there are problems with any part of the lungs. Lung infections can affect the air ways of respiratory function, and it may affect the ability to breathe and the good functionality of the human respiratory system. Studying different lung diseases and categorizing them is one of the most interesting areas of research in recent years. Deep learning techniques in the field of computer vision along with medical engineering have recently achieved impressive results. In this work we used three deep learning models for classifying the lung diseases and analyzed the result to find the best model among them. The obtained result shows higher validation accuracy for the deep learning models and this lead to conclude that the method is suitable for predicting Lung diseases.