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Fractal analysis in the detection of colonic cancer images

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


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The aim of this study was to investigate the value of fractal dimension in separating normal and cancerous images, and to examine the relationship between fractal dimension and traditional texture analysis features. Forty-four normal images and 58 cancer images from sections of the colon were analyzed. A "leave-one-out" analysis approach was used to classify the samples into each group. With fractal analysis there was a highly significant difference between groups (P < 0.0001). Correlation and entropy features showed greater differences between the groups (p < 0.0001). Nevertheless, the addition of fractal analysis to the feature analysis improved the sensitivity from 90% to 95% and specificity from 86% to 93%.

Publication metadata

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

Publication type: Article

Publication status: Published

Journal: IEEE Transactions on Information Technology in Biomedicine

Year: 2002

Volume: 6

Issue: 1

Pages: 54-58

ISSN (print): 1089-7771

ISSN (electronic): 1558-0032

Publisher: IEEE


DOI: 10.1109/4233.992163


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