Automatic Analysis of Medical Images Based on Fractal Methods

Abstract

Analysis of changes in medical images is one of the most important areas of computer use, which ensures the progress of the diagnostic process at the moment. Along with the quality of visualization, automated diagnostic methods are being developed, CADs are being increasingly used. Today, medical imaging is the most common diagnostic tool in modern medical practice. The most relevant areas for the implementation of medical image analysis in connection with the specificity of the objects under study are methods based on mathematical methods for processing input information, for example, on a fractal analysis (analysis of self-similarity of image parts), which can be realized by calculating the fractal dimension and Hurst index. The obtained data in world practice become the basis for creating new algorithms for qualitative analysis and image processing for creating new algorithms.