title: |
MASS DETECTION AND CLASSIFICATION IN BREAST ULTRASOUND IMAGES USING FUZZY SVM |
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publication: |
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part of series: |
Advances in Intelligent Systems Research | |
ISBN: |
978-90-78677-01-7 | |
ISSN: |
1951-6851 | |
DOI: |
doi:10.2991/jcis.2006.257 (how to use a DOI) | |
author(s): |
Xiangjun Shi, Heng_Da Cheng, Liming Hu |
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corresponding author: |
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publication date: |
October 2006 |
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keywords: |
Breast ultrasound images; Mass detection; Feature extraction; Pattern classification; Fuzzy SVM; |
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abstract: |
Breast cancer is the leading cause of death of women in United States. Currently the effective method for early detection and screening of breast cancers is X-ray mammography. But the high rate of false positives in mammography causes a large number of unnecessary biopsies. Sonography is an important adjunct to mammography in breast cancer detection. The accuracy rate of breast ultrasound can reach a high level in the diagnosis of simple benign cysts and reduce the number of false positives. We develop a novel CAD system for mass detection and classification in breast ultrasound images based on the fuzzy SVM. The experimental results show that the proposed CAD system greatly improves the five objective indices in comparison with other classification methods and the radiologist assessment. |
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copyright: |
©
Atlantis Press. This is an open-access article distributed under the
terms of the Creative Commons Attribution License, which permits
non-commercial use, distribution and reproduction in any medium,
provided the original work is properly cited. |
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full text: |