Explainable GLCM–Decision Tree Framework for Pulmonary Tuberculosis Classification from Chest X-Rays
An explainable machine learning framework for pulmonary TB classification from chest X-ray images is developed by integrating Gray-Level Co-occurrence Matrix texture features, statistical image features, and a Decision Tree classifier implemented in RapidMiner, demonstrating that interpretable machine learning can prov...