Title :
Contour extraction for breast tumor in ultrasound image
Author :
Wei-Ren Chen ; Po-Hsiang Tsui ; Yung-Sheng Chen
Author_Institution :
Dept. of Electr. Eng., Yuan Ze Univ., Taoyuan, Taiwan
Abstract :
Shape features are usually considered for discriminating benign and malignant breast tumors in ultrasound image. A contour extraction method is presented for the purpose of discrimination. A half contouring is devised for reducing the influence of shadow effect resulting from the ultrasonic energy decay. Based on the cue of contour variation, degree standard variation and texture information are developed as useful features for the discrimination. Above 70% accuracy could be obtained by using the adopted half contour information. Experiments confirm the feasibility of the proposed method.
Keywords :
biomedical ultrasonics; feature extraction; tumours; ultrasonic imaging; breast tumor; contour extraction; contour variation; degree standard variation; half contour information; shape features; texture information; ultrasonic energy; ultrasound image; Abstracts; Acoustics; Clocks; Shape; Ultrasonic imaging; Adaptive thresholding; Breast tumor; Contour extraction; Disk expansion; Ultrasound image;
Conference_Titel :
Machine Learning and Cybernetics (ICMLC), 2014 International Conference on
Conference_Location :
Lanzhou
Print_ISBN :
978-1-4799-4216-9
DOI :
10.1109/ICMLC.2014.7009664