TY - GEN
T1 - Curvelet based feature extraction method for breast cancer diagnosis in digital mammogram
AU - Eltoukhy, Mohamed Meselhy
AU - Faye, Ibrahima
AU - Samir, Brahim Belhaouari
PY - 2010
Y1 - 2010
N2 - This paper proposes a method for breast cancer diagnosis in digital mammogram. The article focuses on using texture analysis based on curvelet transform for the classification of tissues. The most discriminative texture features of regions of interest are extracted. Then, a nearest neighbor classifier based on Euclidian distance is constructed. The obtained results calculated using 5-fold cross validation. The approach consists of two steps, detecting the abnormalities and then classifies the abnormalities into benign and malignant tumors.
AB - This paper proposes a method for breast cancer diagnosis in digital mammogram. The article focuses on using texture analysis based on curvelet transform for the classification of tissues. The most discriminative texture features of regions of interest are extracted. Then, a nearest neighbor classifier based on Euclidian distance is constructed. The obtained results calculated using 5-fold cross validation. The approach consists of two steps, detecting the abnormalities and then classifies the abnormalities into benign and malignant tumors.
UR - http://www.scopus.com/inward/record.url?scp=79952752841&partnerID=8YFLogxK
U2 - 10.1109/ICIAS.2010.5716125
DO - 10.1109/ICIAS.2010.5716125
M3 - Conference contribution
AN - SCOPUS:79952752841
SN - 9781424466238
T3 - 2010 International Conference on Intelligent and Advanced Systems, ICIAS 2010
BT - 2010 International Conference on Intelligent and Advanced Systems, ICIAS 2010
T2 - 2010 International Conference on Intelligent and Advanced Systems, ICIAS 2010
Y2 - 15 June 2010 through 17 June 2010
ER -