TY - JOUR
T1 - Wavelet energy entropy and linear regression classifier for detecting abnormal breasts
AU - Chen, Yi
AU - Zhang, Yin
AU - Lu, Hui Min
AU - Chen, Xian Qing
AU - Li, Jian Wu
AU - Wang, Shui Hua
N1 - Publisher Copyright:
© 2016, Springer Science+Business Media New York.
PY - 2018/2/1
Y1 - 2018/2/1
N2 - Breast abnormalities are the early symptoms of breast cancers. They may also bring in psychoemotional stresses to women. In this study, we developed a new automatic program based on wavelet energy entropy (WEE) and linear regression classifier (LRC): First, we segment region of interest from mammogram images. Second, we calculate WEE from the segmented images. Third, LRC was used as the classifier. We named our method as “WEE + LRC”. The experiment used 10-fold stratified cross validation that was repeated 10 times. The statistical results showed the classification result was the best when the decomposition level was 4, with a sensitivity of 92.00 ± 3.20%, a specificity of 91.70 ± 3.27%, and an accuracy of 91.85 ± 2.21%. The proposed method was superior to other five state-of-the-art methods. In all, our method is effective in detecting abnormal breasts.
AB - Breast abnormalities are the early symptoms of breast cancers. They may also bring in psychoemotional stresses to women. In this study, we developed a new automatic program based on wavelet energy entropy (WEE) and linear regression classifier (LRC): First, we segment region of interest from mammogram images. Second, we calculate WEE from the segmented images. Third, LRC was used as the classifier. We named our method as “WEE + LRC”. The experiment used 10-fold stratified cross validation that was repeated 10 times. The statistical results showed the classification result was the best when the decomposition level was 4, with a sensitivity of 92.00 ± 3.20%, a specificity of 91.70 ± 3.27%, and an accuracy of 91.85 ± 2.21%. The proposed method was superior to other five state-of-the-art methods. In all, our method is effective in detecting abnormal breasts.
KW - Breast abnormality
KW - Digital mammography
KW - Least-squares estimation
KW - Linear regression classifier
KW - Wavelet energy entropy
UR - http://www.scopus.com/inward/record.url?scp=84996528863&partnerID=8YFLogxK
U2 - 10.1007/s11042-016-4161-0
DO - 10.1007/s11042-016-4161-0
M3 - Article
AN - SCOPUS:84996528863
SN - 1380-7501
VL - 77
SP - 3813
EP - 3832
JO - Multimedia Tools and Applications
JF - Multimedia Tools and Applications
IS - 3
ER -
