Calcification segmentation based on a different scales superpixels saliency detection algorithm

Accurate detection of breast tumor calcifications is of great significance in assisting doctors ’ diagnosis to improve the accuracy of breast cancer early detection. In this article, a different scale of superpixels saliency detection algorithm is used to segment calcifications in breast tumor ultrasound images based on a simple linear iterative cluster. First, a multi-scale saliency segment ation algorithm was used to divide the tumor region of different sizes and weak calcification (Wca) was extracted according to uneven gray distribution and texture contrast between regions.
Source: Ultrasound in Medicine and Biology - Category: Radiology Authors: Tags: Original Contribution Source Type: research