Open AccessChest X-Ray Classification of Lung Diseases Using Deep Learning
Author(s) -
Yew Fai Cheah
Publication year - 2021
Publication title -
green intelligent systems and applications
Language(s) - English
Resource type - Journals
ISSN - 2809-1116
DOI - 10.53623/gisa.v1i1.32
Subject(s) - pneumonia , lung , convolutional neural network , medicine , tuberculosis , medical diagnosis , covid-19 , lung disease , disease , radiology , artificial intelligence , computer science , pathology , infectious disease (medical specialty)
Chest X-ray images can be used to detect lung diseases such as COVID-19, viral pneumonia, and tuberculosis (TB). These diseases have similar patterns and diagnoses, making it difficult for clinicians and radiologists to differentiate between them. This paper uses convolutional neural networks (CNNs) to diagnose lung disease using chest X-ray images obtained from online sources. The classification task is separated into three and four classes, with COVID-19, normal, TB, and viral pneumonia, while the three-class problem excludes the normal lung. During testing, AlexNet and ResNet-18 gave promising results, scoring more than 95% accuracy.