QCA based self organizing map for Automated Image Segmentation for medical application

Abstract

Brain Aneurysm & Coronary artery disease (CAD) are the medical challenges which require surgery or metallic stent implant to unblock the clot. Nanotechnology, the promising technology of the 21st century can come as a path breaking technology to cure CAD & Brain Aneurysm. In this paper we discuss an algorithm for QCA based Automated Image Segmentation through Kohonen Self Organizing Map for the recognition of the clot and also discuss QCA based navigation for the propagation of nano robot towards the clot. The thermal image is obtained and it is projected on to the Quantum Dot array these array of Quantum dots are trained to identify different pattern in the thermal image