TY - GEN
T1 - Breast cancer detection based on statistical textural features classification
AU - Abdalla, Al Mutaz M.
AU - Deris, Safaai
AU - Zaki, Nazar
AU - Ghoneim, Doaa M.
PY - 2007/1/1
Y1 - 2007/1/1
N2 - Localized textural analysis of breast tissue on mammograms has recently gained considerable attention by researchers studying breast cancer detection. Despite the research progress to solve the problem, detecting breast cancer based on textural features has not been investigated in depth. In this paper we study the breast cancer detection based on statistical texture features using Support Vector Machine (SVM). A set of textural features was applied to a set of 120 digital mammographic images, from the Digital Database for Screening Mammography. These features are then used in conjunction with SVMs to detect the breast cancer. Other linear and non-linear classifiers were also employed to be compared to the SVM performance. SVM was able to achieve better classification accuracy of 82.5%.
AB - Localized textural analysis of breast tissue on mammograms has recently gained considerable attention by researchers studying breast cancer detection. Despite the research progress to solve the problem, detecting breast cancer based on textural features has not been investigated in depth. In this paper we study the breast cancer detection based on statistical texture features using Support Vector Machine (SVM). A set of textural features was applied to a set of 120 digital mammographic images, from the Digital Database for Screening Mammography. These features are then used in conjunction with SVMs to detect the breast cancer. Other linear and non-linear classifiers were also employed to be compared to the SVM performance. SVM was able to achieve better classification accuracy of 82.5%.
UR - http://www.scopus.com/inward/record.url?scp=50249099338&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=50249099338&partnerID=8YFLogxK
U2 - 10.1109/IIT.2007.4430510
DO - 10.1109/IIT.2007.4430510
M3 - Conference contribution
AN - SCOPUS:50249099338
SN - 9781424418411
T3 - Innovations'07: 4th International Conference on Innovations in Information Technology, IIT
SP - 728
EP - 730
BT - Innovations'07
PB - IEEE Computer Society
T2 - Innovations'07: 4th International Conference on Innovations in Information Technology, IIT
Y2 - 18 November 2007 through 20 November 2007
ER -
