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

Author

Suraj, H. ; Reddy, B.V.

Author_Institution

Mol. Bio Phys. Dept., Indian Inst. of Sci., Bangalore, India

fYear

2011

fDate

21-24 June 2011

Firstpage

1

Lastpage

2

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.

Keywords

biocontrol; brain; cellular automata; image recognition; image segmentation; infrared imaging; medical image processing; medical robotics; nanotechnology; quantum dots; self-organising feature maps; stents; surgery; CAD; QCA based Kohonen self organizing map; automated image segmentation; brain aneurysm; clot unblock; coronary artery disease; medical application; metallic stent implant; nano robot propagation; nanotechnology; quantum cellular automata; quantum dot array; surgery stent implant; thermal image pattern; Arrays; Biomedical imaging; Electric fields; Image segmentation; Organizing; Quantum dots; Robots; Automated Image Segmentation (AIS); Kohonen Self Organizing Map; Quantum Cellular Automata (QCA); Quantum Dot (QD);

fLanguage

English

Publisher

ieee

Conference_Titel

Nanoelectronics Conference (INEC), 2011 IEEE 4th International

Conference_Location

Tao-Yuan

ISSN

2159-3523

Print_ISBN

978-1-4577-0379-9

Electronic_ISBN

2159-3523

Type

conf

DOI

10.1109/INEC.2011.5991626

Filename

5991626