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@article{147562,
        author = {Shivani Jain and Neetu Sikarwar},
        title = {Breast Cancer Diagnosis & Analysis Using Artificial Neural Network System},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {5},
        number = {9},
        pages = {29-32},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=147562},
        abstract = {Breast cancer is one of the leading cancers among women in developed countries including India. Early diagnosis of the cancer allows treatment which could lead to high survival rate or avoids further clinical evaluation or breast biopsy reducing the unnecessary expenditure. This paper aims to build Artificial Neural Network (ANN) model for detection of breast cancer based on Image Registration techniques. Gray Level Co-occurrence Matrix (GLCM) features are extracted and are used to train the ANN. The performance is analysed on the basis of Mean Square Error (MSE) for different number of neurons of ANN.},
        keywords = {Artificial Neural Network, Breast Cancer Detection, Mammogram.},
        month = {},
        }