Classification of Mammogram Images Using Radial Basis Function Neural Network

Author:

Ibrahim Ashraf Osman,Ahmed Ali,Abdu Aleya,Abd-alaziz Rahma,Alobeed Mohamed Alhaj,Saleh Abdulrazak Yahya,Elsafi Abubakar

Publisher

Springer International Publishing

Reference26 articles.

1. de Oliveira Martins, L., dos Santos, A.M., Silva, A.C., Paiva, A.C.: Classification of normal, benign and malignant tissues using co-occurrence matrix and Bayesian neural network in mammographic images. Paper Presented at the 2006 Ninth Brazilian Symposium on Neural Networks (SBRN 2006) (2006)

2. Loka, V.R.D., Putheti, S.: Classification of normal, benign and malignant tissues using fuzzy texton and support vector machine in mammographic images. Int. J. Comput. Appl. 82(15), 36–39 (2013)

3. Punitha, S., Ravi, S., Devi, M.A., Vaishnavi, J.: Breast cancer detection using classification techniques in digital mammography: international science press. IJCTA 9(7), 3123–3134 (2016)

4. Tang, J., Rangayyan, R.M., Xu, J., El Naqa, I., Yang, Y.: Computer-aided detection and diagnosis of breast cancer with mammography: recent advances. IEEE Trans. Inform. Technol. Biomed. 13(2), 236–251 (2009)

5. Smith, R.A., Cokkinides, V., Eyre, H.J.: American cancer society guidelines for the early detection of cancer. CA: Cancer J. Clin. 56(1), 11–25 (2006)

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