Performance Analysis of Artificial Neural Network Based Breast Cancer Detection System
Satish Saini1, Ritu Vijay2
1Satish Saini, Asst. Prof., Department of Electronics & Communication Engineering, Panipat Institute of Engineering & Technology, Samalkha, India.
2Dr. Ritu Vijay, Assoc. Prof., Department of Electronics, Banasthali University, Banasthali, India.
Manuscript received on September 02, 2014. | Revised Manuscript received on September 04, 2014. | Manuscript published on September 05, 2014. | PP: 70-73 | Volume-4 Issue-4, September 2014. | Retrieval Number: D2361094414 /2014©BEIESP
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© The Authors. Published By: Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
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.