Title :
Computer-Aided Detection Based on Fuzzy Support Vector Machines
Author :
Bai Xingli ; Xu, Qian
Author_Institution :
Sch. of Mech. Electron. & Inf. Eng., China Univ. of Min. & Technol., Beijing
Abstract :
The paper present a novel method for Medical image Detection using fuzzy support vector machines. Through calculating fuzzy membership of every sample, the conception of fuzzy support vector machine (FSVM) is introduced, which can resolve the problem of unclassifiable regions in SVM. Some experiments for Microcalcifications detection in digital mammography with different noise levels were conducted and results show that the proposed method is able to detection the breast cancer in the images of mammography with high precision.
Keywords :
cancer; feature extraction; fuzzy set theory; image classification; mammography; medical image processing; support vector machines; breast cancer; computer-aided medical image detection; digital mammography; feature extraction; fuzzy membership; fuzzy support vector machine; unclassifiable region; Biomedical engineering; Biomedical imaging; Breast cancer; Cancer detection; Design engineering; Fuzzy sets; Mammography; Medical diagnostic imaging; Support vector machine classification; Support vector machines; Breast Cancer; Fuzzy Support Vector Machines; Mammography; Membership Degree;
Conference_Titel :
Computational Intelligence and Design, 2008. ISCID '08. International Symposium on
Conference_Location :
Wuhan
Print_ISBN :
978-0-7695-3311-7
DOI :
10.1109/ISCID.2008.209
