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.
International Journal of Computer Applications in Technology, 2009 Vol.34 No.4, pp.315 - 321
Published online: 25 Mar 2009 *Full-text access for editors Access for subscribers Purchase this article Comment on this article