Identifying and quantifying the difference between adenomatous colon polyps and normal colon tissue from clinical histological images

Esgiar, Abdelrahim Nasser and Khalifa, Othman Omran and Naguib, Raouf and Algaddaf, Ali and Gan, Laurence A. lim and Murray, Alan (2022) Identifying and quantifying the difference between adenomatous colon polyps and normal colon tissue from clinical histological images. International Journal of Advanced Research in Science and Technology, 10 (12). pp. 872-880. ISSN 2319-783 E-ISSN 2320-1126

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Abstract

This study aimed to evaluate automated image analysis as a tool for differentiating normal tissue from adenomatous polyp lesions. Images of colon surgical pathology samples from 140 patients (70 normal subjects and 70 polyp subjects) were captured on a personal computer using an Olympus DP20 digital photomicrography apparatus mounted on an Olympus light microscope (trinocular) at 1200×1800 dots per inch resolution, with the highpower magnification of ×400. The complexity of image patterns was studied. In particular, image features of Fractal Dimension (FD) and Lacunarity (Lac) were extracted by using non-overlapping and sliding box-counting techniques. There were highly significant differences between the two clinical groups for both techniques, with polyp images in comparison with normal tissue images having significantly greater FD (1.83±0.04 v 1.73±0.08 p<0.0001) and significantly smaller Lac (0.28±0.08 v 0.42±0.12 p<0.0001) by using the non-overlapping box-counting method, and similar results by using the sliding box-counting method (1.86±0.09 v 1.78±0.08 p<0.0001, and 0.26±0.08 v 0.37±0.12 p<0.0001, respectively). These results encourage the use of computer automation, as normal colon tissue and adenomatous polyp tissue can be significantly differentiated.

Item Type:	Article (Journal)
Uncontrolled Keywords:	Colon polyp, Microscopic image analysis, Texture analysis, Fractal dimension, Lacunarity.
Subjects:	T Technology > T Technology (General) T Technology > T Technology (General) > T10.5 Communication of technical information
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button):	Kulliyyah of Engineering Kulliyyah of Engineering > Department of Electrical and Computer Engineering
Depositing User:	Prof. Dr Othman O. Khalifa
Date Deposited:	28 Dec 2022 16:09
Last Modified:	28 Dec 2022 16:20
URI:	http://irep.iium.edu.my/id/eprint/102543

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