@article{MAKHILLJEAS2020151719418,
    title = {Identification of Spectral Graph Wavelets for Microcalcifications in Mammogram Images},
    journal = {Journal of Engineering and Applied Sciences},
    volume = {15},
    number = {17},
    pages = {3161-3163},
    year = {2020},
    issn = {1816-949x},
    doi = {jeasci.2020.3161.3163},
    url = {https://makhillpublications.co/view-article.php?issn=1816-949x&doi=jeasci.2020.3161.3163},
    author = {B. and},
    keywords = {Mammogram,Breast cancer,kNN classifier,microcalcification,SGWT},
    abstract = {Breast cancer is one of the dangerous disease
for ladies in world. The available system deals
Microcalcifications (MCs) in breast cancer and
detectection is difficult till now. But using mammogram
images inital stage itself idetenfication is simple as well
as very easy to detect the breast cancer. In this study, the
system has to identify the MCs classification by using
Spectral Graph Wavelet Theory (SGWT) and K-Nearest
Neighbour (KNN) classifier. To extract their energy in
each sector and make them together to identify the results
by using the algorithm.}
    }