TY - GEN
T1 - Automated characterization of breast cancer using steerable filters
AU - Fujita, Hamido
AU - Raghavendra, U.
AU - Gudigar, Anjan
AU - Vadakkepat, Vinoy Vishnu
AU - Acharya, U. Rajendra
PY - 2017
Y1 - 2017
N2 - Breast cancer is one of the highly researched topic in medical image analysis. Digital mammogram analysis is one of the techniques which helps in determining severity of breast cancer within the context of medical image analysis. In this work, a novel technique using steerable co-occurrence features and the independent component analysis (ICA) is proposed. Our method is evaluated using 1000 mammogram images and can efficiently classify normal, benign and malignant classes with a promising performance of 88.60% accuracy, using only ten features. The proposed method is completely automatic and it does not require any segmentation technique in the breast region.
AB - Breast cancer is one of the highly researched topic in medical image analysis. Digital mammogram analysis is one of the techniques which helps in determining severity of breast cancer within the context of medical image analysis. In this work, a novel technique using steerable co-occurrence features and the independent component analysis (ICA) is proposed. Our method is evaluated using 1000 mammogram images and can efficiently classify normal, benign and malignant classes with a promising performance of 88.60% accuracy, using only ten features. The proposed method is completely automatic and it does not require any segmentation technique in the breast region.
UR - http://www.scopus.com/inward/record.url?scp=85029217412&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85029217412&partnerID=8YFLogxK
U2 - 10.3233/978-1-61499-800-6-321
DO - 10.3233/978-1-61499-800-6-321
M3 - Conference contribution
AN - SCOPUS:85029217412
VL - 297
T3 - Frontiers in Artificial Intelligence and Applications
SP - 321
EP - 327
BT - New Trends in Intelligent Software Methodologies, Tools and Techniques - Proceedings of the 16th International Conference, SoMeT 2017
PB - IOS Press
T2 - 16th International Conference on New Trends in Intelligent Software Methodology Tools, and Techniques, SoMeT 2017
Y2 - 26 September 2017 through 28 September 2017
ER -
