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Optimization of Artificial Neural Network Breast Cancer Detection System based on Image Registration Techniques

International Journal of Computer Applications
© 2014 by IJCA Journal
Volume 105 - Number 14
Year of Publication: 2014
Satish Saini
Ritu Vijay

Satish Saini and Ritu Vijay. Article: Optimization of Artificial Neural Network Breast Cancer Detection System based on Image Registration Techniques. International Journal of Computer Applications 105(14):26-29, November 2014. Full text available. BibTeX

	author = {Satish Saini and Ritu Vijay},
	title = {Article: Optimization of Artificial Neural Network Breast Cancer Detection System based on Image Registration Techniques},
	journal = {International Journal of Computer Applications},
	year = {2014},
	volume = {105},
	number = {14},
	pages = {26-29},
	month = {November},
	note = {Full text available}


The paper presents a Feed-forward back-propagation Artificial Neural Network (ANN) model for detection of breast cancer using Image Registration Techniques. Gray Level Co-occurrence Matrix (GLCM) features extracted from the known mammogram images are used to train the ANN based detection system. The ANN based detection system will be investigated for different number of neurons and layers on the basis of Mean Square Error (MSE) and optimum number of neurons and layers will be chosen.


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