title: An Artificial Immune System-Based Support Vector Machine Approach for Classifying Ultrasound Breast Tumor Images.
abstract: A rapid and highly accurate diagnostic tool for distinguishing benign tumors from malignant ones is required owing to the high incidence of breast cancer. Although various computer-aided diagnosis (CAD) systems have been developed to interpret ultrasound images of breast tumors, feature selection and the setting of parameters are still essential to classification accuracy and the minimization of computational complexity. This work develops a highly accurate CAD system that is based on a support vector machine (SVM) and the artificial immune system (AIS) algorithm for evaluating breast tumors. Experiments demonstrate that the accuracy of the proposed CAD system for classifying breast tumors is 96.67%. The sensitivity, specificity, PPV, and NPV of the proposed CAD system are 96.67, 96.67, 95.60, and 97.48%, respectively. The receiver operator characteristic (ROC) area index A z is 0.9827. Hence, the proposed CAD system can reduce the number of biopsies and yield useful results that assist physicians in diagnosing breast tumors.
authors.affiliation: Department of Information Management, Chang Gung University, Tao-Yuan, Taiwan, 333, Republic of China.
authors.forename: Wen-Jie
authors.initials: WJ
authors.lastname: Wu
authors.affiliation: Department of Information Management, Chang Gung University, Tao-Yuan, Taiwan, 333, Republic of China. swlin@mail.cgu.edu.tw.
authors.forename: Shih-Wei
authors.initials: SW
authors.lastname: Lin
authors.affiliation: Department of Diagnostic Radiology, Seoul National University Hospital, Seoul, South Korea.
authors.forename: Woo Kyung
authors.initials: WK
authors.lastname: Moon
mesh_terms: D000293:Adolescent; D000328:Adult; D000465:Algorithms; D001943:Breast Neoplasms / Q000000981:diagnostic imaging* / Q000276:immunology*; D003937:Diagnosis, Differential; D005260:Female; D006801:Humans; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D007107:Immune System; D008875:Middle Aged; D011237:Predictive Value of Tests; D012372:ROC Curve; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D060388:Support Vector Machine; D016217:Ultrasonography, Mammary / Q000379:methods*; D055815:Young Adult
keywords: Artificial immune system algorithm; Breast tumors; Morphological feature; Support vector machine; Textural feature