Identifying and Quantifying the Difference between Adenomatous Colon Polyps and Normal Colon Tissue from Clinical Histological Images

Identifying and Quantifying the Difference between Adenomatous Colon Polyps and Normal Colon Tissue from Clinical Histological Images is an open-access, peer-reviewed research paper by Abdelrahim Nasser Esgiar* 1 , Othman Omran Khalifa 2 , Raouf Naguib3 , Ali Algaddafi 1 , Laurence A. Gan Lim4 and Alan Murray5, published in Volume 11, Issue 12 of the International Journal of Advanced Research in Science and Technology (IJARST), a UGC-approved journal (Print ISSN 2319-1783, Online ISSN 2320-1126).

Author

Abdelrahim Nasser Esgiar* 1 , Othman Omran Khalifa 2 , Raouf Naguib3 , Ali Algaddafi 1 , Laurence A. Gan Lim4 and Alan Murray5

Abstract

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.

DOI

https://doi.org/10.62226/ijarst20221254

PAGES : 872-880 | 83 VIEWS | 28 DOWNLOADS

How do you cite this paper?

Abdelrahim Nasser Esgiar* 1 , Othman Omran Khalifa 2 , Raouf Naguib3 , Ali Algaddafi 1 , Laurence A. Gan Lim4 and Alan Murray5 — “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 (IJARST), Volume 11, Issue 12. DOI: https://doi.org/10.62226/ijarst20221254.


Download Full Article

Abdelrahim Nasser Esgiar* 1 , Othman Omran Khalifa 2 , Raouf Naguib3 , Ali Algaddafi 1 , Laurence A. Gan Lim4 and Alan Murray5 | Identifying and Quantifying the Difference between Adenomatous Colon Polyps and Normal Colon Tissue from Clinical Histological Images | DOI : https://doi.org/10.62226/ijarst20221254

Journal Frequency: ISSN 2320-1126, Monthly
Paper Submission: Throughout the month
Acceptance Notification: Within 6 days
Subject Areas: Engineering, Science & Technology
Publishing Model: Open Access
Publication Fee: USD 60  USD 50
Publication Impact Factor: 6.76
Certificate Delivery: Digital

Publish your research with IJARST and engage with global scientific minds