Adaptive Neural Networks and Random Distribution for Cancer Tissue Detection and Localization with Random multivariable

	International Journal of P2P Network Trends and Technology (IJPTT)
	© 2012 by IJPTT Journal
	Volume-2 Issue-6
	Year of Publication : 2012
	Authors : Akash K Singh

Citation

Akash K Singh."Authentication Trust Level Network Architecture". International Journal of P2P Network Trends and Technology (IJPTT), V2(6):60-93  Nov - Dec 2012, ISSN:2249-2615, www.ijpttjournal.org. Published by Seventh Sense Research Group.

Abstract

In this paper a novel approach is described to perform detection of Cancer Tissues by directly modeling the statistical characteristics of the Cancer Cells. This approach allows us to represent Cancer Tissue Acquisitions in the form of pattern that will be analyzed and monitored using Adaptive Self Organizing Maps and Mathematical framework of Cancer Random Tissue Distributions and Localization of Cancer Cells.MRI Images are stacked and pattern recognition techniques are applied to determine Cancer Tissue Image Segmentation and Registration.

References

[1] A. Hyvarinen, “A fast fixed-point algorithm for independent component analysis”, Neural computation, 9(7), (1997)
[2] A. Papoulis, “Probability random variables and stochastic processes”, McGraw-Hill, New York, (1984)
[3] M. Rosenblatt, “Stationary sequences and random fields”, Birkhauser, Boston, 1985

Keywords

Trust management, Trust levels, Authentication and Access Control, Web Service Federation, Federated Identity Management