Automatic Detection of Lung Diseases Using CNN and SVM

Lung diseases are becoming common everywhere in the world. These contain diseases like pneumonia, emphysema, tuberculosis, etc. which come under the category of Chronic Obstructive Pulmonary Diseases (COPDs). Other than these lung related diseases, a very popular recent lung disease is COVID-19. This work proposes an approach for detecting and classifying various lung related diseases with chest X-ray images using transfer learning concept, with MobileNet architecture as a feature extractor followed by Support Vector Machine (SVM). The images of chest X-ray are used to classify healthy individuals from patients suffering with various lung diseases like COVID-19, pneumonia, tuberculosis, and emphysema. In this study, a dataset of 2500 chest X-ray images of COVID-19, pneumonia, emphysema, tuberculosis infected, and normal images are used. The proposed method was able to achieve high accuracy 98.5% and F1-score of 99.8%.