Fractal analysis in the detection of colonic cancer images

被引:134
作者
Esgiar, AN [1 ]
Naguib, RNG
Sharif, BS
Bennett, MK
Murray, A
机构
[1] Newcastle Univ, Dept Elect & Elect Engn, Newcastle Upon Tyne NE1 7RU, Tyne & Wear, England
[2] Coventry Univ, Sch Math & Informat Sci, BIOCORE, Coventry CV1 5FB, W Midlands, England
[3] Freeman Rd Hosp, Dept Histopathol, Newcastle Upon Tyne NE7 7DN, Tyne & Wear, England
[4] Freeman Rd Hosp, Dept Reg Med Phys, Newcastle Upon Tyne NE7 7DN, Tyne & Wear, England
来源
IEEE TRANSACTIONS ON INFORMATION TECHNOLOGY IN BIOMEDICINE | 2002年 / 6卷 / 01期
关键词
cancer; classification; colon; fractal analysis; image analysis; quantitative pathology; texture;
D O I
10.1109/4233.992163
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
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%.
引用
收藏
页码:54 / 58
页数:5
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