MASS DETECTION AND CLASSIFICATION IN BREAST ULTRASOUND IMAGES USING FUZZY SVM

DOI

10.2991/jcis.2006.257How to use a DOI?

Keywords

Breast ultrasound images; Mass detection; Feature extraction; Pattern classification; Fuzzy SVM;

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.

Copyright

© 2006, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Xiangjun Shi
AU  - Heng_Da Cheng
AU  - Liming Hu
PY  - 2006/10
DA  - 2006/10
TI  - MASS DETECTION AND CLASSIFICATION IN BREAST ULTRASOUND IMAGES USING FUZZY SVM
BT  - Proceedings of the 9th Joint International Conference on Information Sciences (JCIS-06)
PB  - Atlantis Press
SP  - 253
EP  - 256
SN  - 1951-6851
UR  - https://doi.org/10.2991/jcis.2006.257
DO  - 10.2991/jcis.2006.257
ID  - Shi2006/10
ER  -