Classification of COVID-19 from X-ray Images using GLCM Features and Machine Learning

As the world continues to battle devastating effects of COVID-19 pandemic, it has become increasingly crucial screen patients for contamination accurately and effectively. One primary screening methods is chest radiography, utilizing radiological imaging detect presence virus in lungs. This study presents a cutting-edge solution classify infections X-ray images by Gray-Level Co-occurrence Matrix (GLCM) machine learning algorithms. The proposed method analyzes each image using GLCM extract 22 statistical texture features then trains two classifiers - K-Nearest Neighbor Support Vector Machine on these features. was tested Radiography Database compared state-of-the-art method, delivering highly efficient results with impressive sensitivity, accuracy, precision, F1-score, specificity, Matthew's correlation coefficient. approach offers promising new way potential play role ongoing fight against pandemic.