Mass detection and classification in breast ultrasound image using K-means clustering algorithm

This study highlights the connection between fractal dimension of small tumors of ultrasound breast and extraction knowledge from data using k-mean algorithm which provides the capability to discover new and meaningful information by using existing data. Fractal dimension was calculated by box count method which was applied on a breast ultrasound filtrated with five different filters. The study emphasizes the usefulness of fractal analysis and clustering fractal dimension in medicine.