  Ultrasound image diagnosis of breast tumors has been widely used in recent
years. However, there are some problems of it, for instance, poor quality,
intense noise and uneven echo distribution, which has created a huge obstacle
to diagnosis. To overcome these problems, we propose a novel method, a breast
cancer classification with ultrasound images based on SLIC (BCCUI). We first
utilize the Region of Interest (ROI) extraction based on Simple Linear
Iterative Clustering (SLIC) algorithm and region growing algorithm to extract
the ROI at the super-pixel level. Next, the features of ROI are extracted.
Furthermore, the Support Vector Machine (SVM) classifier is applied. The
calculation states that the accuracy of this segment algorithm is up to 88.00%
and the sensitivity of the algorithm is up to 92.05%, which proves that the
classifier presents in this paper has certain research meaning and applied
worthiness.
