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Texture descriptions and classification for pathological analysis of cancerous colonic mucosa

Lookup NU author(s): Professor Bayan Sharif, Emeritus Professor Alan MurrayORCiD


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Image analysis for the classification of normal and cancerous colonic mucosa is reported. Pathology samples were taken from human colon mucosa, and 44 normal and 58 cancer images captured to computer via an optical microscope with a CCD camera. Texture analysis was performed using fractal dimension, entropy and correlation. Using non-parametric classification, fractal dimension improved the classification accuracy from 88% to 94% in comparison with the combined entropy and correlation analysis.

Publication metadata

Author(s): Esgiar AN, Sharif BS, Naguib RNG, Bennett MK, Murray A

Publication type: Conference Proceedings (inc. Abstract)

Publication status: Published

Conference Name: 7th International Conference on Image Processing and its Applications

Year of Conference: 1999

Pages: 335-338

ISSN: 0537-9989

Publisher: IEEE


DOI: 10.1049/cp:19990338

Library holdings: Search Newcastle University Library for this item

ISBN: 0852967179