Inter-grader reliability of a supervised pterygium redness grading system
This research work outlines the methodology of a medical image grading system based on supervised learning algorithm. A total of 210 features were extracted in various color spaces and most relevant features were identified and fed into a regularized feedforward neural network. The inter-grader reli...
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American Scientific Publishers
2016
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iium-544552017-07-04T01:28:58Z http://irep.iium.edu.my/54455/ Inter-grader reliability of a supervised pterygium redness grading system Che Azemin, Mohd Zulfaezal Mohd Tamrin, Mohd Izzuddin Hilmi, Mohd Radzi Mohd. Kamal, Khairidzan RE Ophthalmology TA164 Bioengineering This research work outlines the methodology of a medical image grading system based on supervised learning algorithm. A total of 210 features were extracted in various color spaces and most relevant features were identified and fed into a regularized feedforward neural network. The inter-grader reliability of the supervised system was then assessed based on the manual delineation of region of interest by 2 human graders. Intra-class correlation analysis of the experiments shows excellent agreement of 0.869 to 0.954. American Scientific Publishers 2016-10 Article PeerReviewed application/pdf en http://irep.iium.edu.my/54455/1/1570242081-formatted.pdf application/pdf en http://irep.iium.edu.my/54455/7/54455-Inter-grader%20reliability%20of%20a%20supervised%20pterygium%20redness%20grading%20system_SCOPUS.pdf Che Azemin, Mohd Zulfaezal and Mohd Tamrin, Mohd Izzuddin and Hilmi, Mohd Radzi and Mohd. Kamal, Khairidzan (2016) Inter-grader reliability of a supervised pterygium redness grading system. Advanced Science Letters, 22 (10). pp. 2885-2888. ISSN 1936-6612 E-ISSN 1936-7317 http://www.ingentaconnect.com/contentone/asp/asl/2016/00000022/00000010/art00060 10.1166/asl.2016.7125 |
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RE Ophthalmology TA164 Bioengineering |
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RE Ophthalmology TA164 Bioengineering Che Azemin, Mohd Zulfaezal Mohd Tamrin, Mohd Izzuddin Hilmi, Mohd Radzi Mohd. Kamal, Khairidzan Inter-grader reliability of a supervised pterygium redness grading system |
description |
This research work outlines the methodology of a medical image grading system based on supervised learning algorithm. A total of 210 features were extracted in various color spaces and most relevant features were identified and fed into a regularized feedforward neural network. The inter-grader reliability of the supervised system was then assessed based on the manual delineation of region of interest by 2 human graders. Intra-class correlation analysis of the experiments shows excellent agreement of 0.869 to 0.954. |
format |
Article |
author |
Che Azemin, Mohd Zulfaezal Mohd Tamrin, Mohd Izzuddin Hilmi, Mohd Radzi Mohd. Kamal, Khairidzan |
author_facet |
Che Azemin, Mohd Zulfaezal Mohd Tamrin, Mohd Izzuddin Hilmi, Mohd Radzi Mohd. Kamal, Khairidzan |
author_sort |
Che Azemin, Mohd Zulfaezal |
title |
Inter-grader reliability of a supervised pterygium redness grading system |
title_short |
Inter-grader reliability of a supervised pterygium redness grading system |
title_full |
Inter-grader reliability of a supervised pterygium redness grading system |
title_fullStr |
Inter-grader reliability of a supervised pterygium redness grading system |
title_full_unstemmed |
Inter-grader reliability of a supervised pterygium redness grading system |
title_sort |
inter-grader reliability of a supervised pterygium redness grading system |
publisher |
American Scientific Publishers |
publishDate |
2016 |
url |
http://irep.iium.edu.my/54455/ http://irep.iium.edu.my/54455/ http://irep.iium.edu.my/54455/ http://irep.iium.edu.my/54455/1/1570242081-formatted.pdf http://irep.iium.edu.my/54455/7/54455-Inter-grader%20reliability%20of%20a%20supervised%20pterygium%20redness%20grading%20system_SCOPUS.pdf |
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2023-09-18T21:17:04Z |
last_indexed |
2023-09-18T21:17:04Z |
_version_ |
1777411633601052672 |