ANALYSIS OF MEDICAL IMAGES (X-RAY, CT, MRI) BASED ON MACHINE LEARNING

In modern medicine, automating diagnostic processes and improving detection quality is a pressing issue. This thesis examines methods for analyzing medical images, specifically X-ray and magnetic resonance imaging (MRI) results, using Data Mining technologies. The possibilities of detecting diseases at early stages, improving diagnostic accuracy, and supporting physicians in the decision-making process through data mining technologies are analyzed.