关键词: 乳腺密度, 直方图矩, 子区域分类, 支持向量机

Abstract: Breast density is a widely adopted measure for early breast cancer diagnose. An automated breast density estimation method is proposed. Different with the previous methods, the presented method first divides a mammogram into a set of sub-regions. Then sub-regions are classified as high density and low density categories based on their intensity distribution. The breast density in the mammogram is evaluated by calculating the ratio of number of high density sub-regions to that of the whole set. Groups of histogram moments of sub-regions are extracted as inputs of the Support Vector Machine（SVM） to classify the sub images. Experimental results show that the good performance of the proposed method.

Key words: breast density, histogram moment, sub-region classification, Support Vector Machine