Title: Differential convolution for medical diagnosis

Authors: Charles R. Watson, Catherine A. Millis

Addresses: School of Science and Technology, University of New England, Armidale, NSW, 2351, Australia. ' School of Science and Technology, University of New England, Armidale, NSW, 2351, Australia

Abstract: This paper describes differential convolution and its application to high-resolution three dimensional medical images to distinguish between normal and diseased tissue. Underlying image processing principles are presented focusing on texture analysis and prototype application of three dimensional convolution to identify normal, benign and malignant tissue.

Keywords: differential convolution; image processing; cancer diagnosis; second harmonic generation; SHG; computer applications; medical diagnosis; 3D medical images; normal tissue; diseased tissue; texture analysis; benign tissue; malignant tissue.

DOI: 10.1504/IJCAT.2009.024086

International Journal of Computer Applications in Technology, 2009 Vol.34 No.4, pp.315 - 321

Published online: 25 Mar 2009 *

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