Extraction of Gray and Texture Features based on Ultrasonic Image of Breast Cancer
Liang Yong-gui · Communications technology · 2009
Breast cancer is the most prevalent cancer among women.It is valuable and meaningful to study the diagnosis of breast cancer.In this study,the gray level and texture features are first extracted from the regions of the ultrasonic images;then,the classification ability of every feature is evaluated with classification distance in feature select stage.This study would lay a solid foundation for the computer-aided diagnosis system.