DocumentCode
2383771
Title
Improved local binary patterns for classification of masses using mammography
Author
Liu, Jun ; Liu, Xiaoming ; Chen, Jianxun ; Tang, J.
Author_Institution
Coll. of Comput. Sci. & Technol., Wuhan Univ. of Sci. & Technol., Wuhan, China
fYear
2011
fDate
9-12 Oct. 2011
Firstpage
2692
Lastpage
2695
Abstract
In this paper, we investigate mass classification using an improved local binary pattern operator. In the proposed classification algorithm, the improved local binary pattern operator is used to extract the features of masses and is used to determine whether the mass is benign or malignant. For classifier, support vector machine is adopted. 309 images from the DDSM database were used and the experimental results show the effectiveness of the proposed algorithm.
Keywords
feature extraction; image classification; mammography; medical image processing; support vector machines; DDSM database; feature extraction; local binary pattern operator; mammography; mass classification; support vector machine; Breast cancer; Cancer detection; Classification algorithms; Feature extraction; Support vector machines; Training; Mass classification; local binary pattern operator; median; support vector; texture analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Systems, Man, and Cybernetics (SMC), 2011 IEEE International Conference on
Conference_Location
Anchorage, AK
ISSN
1062-922X
Print_ISBN
978-1-4577-0652-3
Type
conf
DOI
10.1109/ICSMC.2011.6084079
Filename
6084079
Link To Document