Fractal analysis in the detection of colonic cancer images

Author

Esgiar, Abdelrahim Nasser ; Naguib, Raouf N G ; Sharif, Bayan S. ; Bennett, Mark K. ; Murray, Alan

Author_Institution

Dept. of Electr. & Electron. Eng., Univ. of Newcastle, Newcastle upon Tyne, UK

Volume

6

Issue

1

fYear

2002

fDate

3/1/2002 12:00:00 AM

Firstpage

54

Lastpage

58

Abstract

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%.

Keywords

cancer; entropy; fractals; image classification; image texture; medical image processing; cancerous images; colonic cancer images; entropy features; fractal analysis; fractal dimension; image analysis; leave-one-out analysis approach; normal images; quantitative pathology; texture analysis features; Cameras; Cancer detection; Colon; Fractals; Hospitals; Image analysis; Image texture analysis; Information analysis; Medical treatment; Pathology; Case-Control Studies; Colonic Neoplasms; Fractals; Humans;

fLanguage

English

Journal_Title

Information Technology in Biomedicine, IEEE Transactions on

Publisher

ieee

ISSN

1089-7771

Type

jour

DOI

10.1109/4233.992163

Filename

992163