DEVELOPMENT OF AN ALGORITHM AND SOFTWARE FOR THE ANALYSIS OF MEDICAL DIAGNOSTIC IMAGES FOR EARLY DISEASE DETECTION

Abstract: Early detection of diseases is a critical component of modern healthcare, enabling timely diagnosis and improving the effectiveness of treatment. This study focuses on the development of an algorithm and software for analyzing medical diagnostic images to support the early identification of pathological changes. The proposed approach involves digital image preprocessing, noise reduction, image enhancement, segmentation of anatomical structures, and identification of potentially abnormal regions using image analysis and machine learning techniques. The software is designed to support the interpretation of medical images, improve diagnostic efficiency, and assist healthcare professionals in identifying early-stage pathological changes. The proposed system is intended to provide a foundation for computer-aided diagnostic solutions in clinical practice.