Differential convolution for medical diagnosis

Authors:
Charles R. Watson;Catherine A. Millis
Affiliations:
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
Venue:
International Journal of Computer Applications in Technology
Year:
2009

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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.