DocumentCode
344147
Title
Texture descriptions and classification for pathological analysis of cancerous colonic mucosa
Author
Esgiar, A.N. ; Sharif, B.S. ; Naguib, R.N.G. ; Bennett, M.K. ; Murray, A.
Author_Institution
Newcastle upon Tyne Univ., UK
Volume
1
fYear
1999
fDate
36342
Firstpage
335
Abstract
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
Keywords
medical image processing; CCD camera; cancer images; cancerous colonic mucosa; classification accuracy; correlation analysis; entropy analysis; fractal dimension; image analysis; image classification; malignant tumour images; nonparametric classification; normal colonic mucosa; optical microscope; pathological analysis; pathology samples; texture classification; texture descriptions;
fLanguage
English
Publisher
iet
Conference_Titel
Image Processing And Its Applications, 1999. Seventh International Conference on (Conf. Publ. No. 465)
Conference_Location
Manchester
ISSN
0537-9989
Print_ISBN
0-85296-717-9
Type
conf
DOI
10.1049/cp:19990338
Filename
791407
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