International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Since Year 2012 | Open Access | Fully Refereed | Peer Reviewed

ISSN: 2319-7064




Downloads: 102

M.Tech / M.E / PhD Thesis | Computer Science & Engineering | India | Volume 3 Issue 11, November 2014


Neural Systems Approach for Ammography Finding by Utilizing Wavelet Features

A. Mallareddy [2] | A. Priyanka


Abstract: We present an application of artificial neural networks to mammographic images, aimed at improving early detection of sensitivity to breast cancer. The proposed application consists of two main steps: a pre-treatment step whose role is to extract the characteristics of the available mammographic images using the wavelet and co-occurrence (GLCM) matrices approach and a classification step based on an artificial neural network that uses these characteristics as input vectors for its training algorithm. The output of the training phase of this model is a categorization of the pre-treated images into three main groups: normal, benign and malignant. After the training phase, the network can be used in order to label new and unseen images as one of these three types.


Keywords: Breast Cancer, Neural Networks, Mammographic Images, Wavelet process, GLCM Classification


Edition: Volume 3 Issue 11, November 2014,


Pages: 826 - 829

Neural Systems Approach for Ammography Finding by Utilizing Wavelet Features


How to Cite this Article?

A. Mallareddy, A. Priyanka, "Neural Systems Approach for Ammography Finding by Utilizing Wavelet Features", International Journal of Science and Research (IJSR), https://www.ijsr.net/get_abstract.php?paper_id=OCT14879, Volume 3 Issue 11, November 2014, 826 - 829, #ijsrnet

How to Share this Article?

Enter Your Email Address




Similar Articles with Keyword 'Breast Cancer'

Downloads: 128

Review Papers, Computer Science & Engineering, India, Volume 2 Issue 2, February 2013

Pages: 191 - 199

Comparative Study of Wavelet Adaptive Windowing Method an Effective Technique for Tumor Detection in Mammilla (Bosom)

Jayashree R.Parate | R.K.Krishna

Share this Article

Downloads: 130 | Weekly Hits: ⮙1 | Monthly Hits: ⮙1

Research Paper, Computer Science & Engineering, India, Volume 9 Issue 4, April 2020

Pages: 1653 - 1655

Breast Cancer Diagnosis and Prediction Using Machine Learning Algorithm

Shilpa M [2] | C. Nandini [2]

Share this Article


Top