Characterization and classification of tumor lesions using computerized fractal-based texture analysis and support vector machines in digital mammograms

摘要

This paper presents a detailed study of fractal-based methods for texture characterization of mammographic mass lesions and architectural distortion. The purpose of this study is to explore the use of fractal and lacunarity analysis for the characterization and classification of both tumor lesions and normal breast parenchyma in mammography.