Identifying and quantifying the difference between adenomatous colon polyps and normal colon tissue from clinical histological images
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 digita...
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my.iium.irep.1025432022-12-28T08:20:27Z http://irep.iium.edu.my/102543/ Identifying and quantifying the difference between adenomatous colon polyps and normal colon tissue from clinical histological images Esgiar, Abdelrahim Nasser Khalifa, Othman Omran Naguib, Raouf Algaddaf, Ali Gan, Laurence A. lim Murray, Alan T Technology (General) T10.5 Communication of technical information 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. Pearl Media Publications Pvt Ltd 2022-12-25 Article PeerReviewed application/pdf en http://irep.iium.edu.my/102543/7/102543_Identifying%20and%20quantifying%20the%20difference.pdf 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 https://www.ijarst.com/ |
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T Technology (General) T10.5 Communication of technical information Esgiar, Abdelrahim Nasser Khalifa, Othman Omran Naguib, Raouf Algaddaf, Ali Gan, Laurence A. lim Murray, Alan Identifying and quantifying the difference between adenomatous colon polyps and normal colon tissue from clinical histological images |
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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. |
format |
Article |
author |
Esgiar, Abdelrahim Nasser Khalifa, Othman Omran Naguib, Raouf Algaddaf, Ali Gan, Laurence A. lim Murray, Alan |
author_facet |
Esgiar, Abdelrahim Nasser Khalifa, Othman Omran Naguib, Raouf Algaddaf, Ali Gan, Laurence A. lim Murray, Alan |
author_sort |
Esgiar, Abdelrahim Nasser |
title |
Identifying and quantifying the difference between adenomatous colon polyps and normal colon tissue from clinical histological images |
title_short |
Identifying and quantifying the difference between adenomatous colon polyps and normal colon tissue from clinical histological images |
title_full |
Identifying and quantifying the difference between adenomatous colon polyps and normal colon tissue from clinical histological images |
title_fullStr |
Identifying and quantifying the difference between adenomatous colon polyps and normal colon tissue from clinical histological images |
title_full_unstemmed |
Identifying and quantifying the difference between adenomatous colon polyps and normal colon tissue from clinical histological images |
title_sort |
identifying and quantifying the difference between adenomatous colon polyps and normal colon tissue from clinical histological images |
publisher |
Pearl Media Publications Pvt Ltd |
publishDate |
2022 |
url |
http://irep.iium.edu.my/102543/7/102543_Identifying%20and%20quantifying%20the%20difference.pdf http://irep.iium.edu.my/102543/ https://www.ijarst.com/ |
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