Benchmarked pterygium images for human and machine graders
In the absence of ground truth, scores from many graders are required to obtain good representation of a clinical grading. The internet enables quick feedback from the experts at the comfort of their home of office. In this study, we demonstrated the use of online form as a tool to get quick feedbac...
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Medwell Journals, 2016
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iium-547432017-04-04T03:01:10Z http://irep.iium.edu.my/54743/ Benchmarked pterygium images for human and machine graders Che Azemin, Mohd Zulfaezal Abdul Gaffur, Norfazrina Hilmi, Mohd Radzi Mohd Tamrin, Mohd Izzudin Mohd. Kamal, Khairidzan RE Ophthalmology TA329 Engineering mathematics. Engineering analysis In the absence of ground truth, scores from many graders are required to obtain good representation of a clinical grading. The internet enables quick feedback from the experts at the comfort of their home of office. In this study, we demonstrated the use of online form as a tool to get quick feedback from clinicians on clinical grading of pterygium images with various severities. The scores were analyzed using quartile analysis and the median was used to construct the benchmark scores for the images. This dataset was tested on assessing human grader and was later fitted with neural network to measure the performance of the machine learning algorithm. Medwell Journals, 2016 2016 Article PeerReviewed application/pdf en http://irep.iium.edu.my/54743/1/2016%20Journal%20of%20Engineering%20and%20Applied%20Sciences.pdf application/pdf en http://irep.iium.edu.my/54743/6/54743_Benchmarked%20pterygium_Scopus.pdf Che Azemin, Mohd Zulfaezal and Abdul Gaffur, Norfazrina and Hilmi, Mohd Radzi and Mohd Tamrin, Mohd Izzudin and Mohd. Kamal, Khairidzan (2016) Benchmarked pterygium images for human and machine graders. Journal of Engineering and Applied Sciences, 11 (11). pp. 2378-2382. ISSN 1816-949X http://docsdrive.com/pdfs/medwelljournals/jeasci/2016/2378-2382.pdf |
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RE Ophthalmology TA329 Engineering mathematics. Engineering analysis |
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RE Ophthalmology TA329 Engineering mathematics. Engineering analysis Che Azemin, Mohd Zulfaezal Abdul Gaffur, Norfazrina Hilmi, Mohd Radzi Mohd Tamrin, Mohd Izzudin Mohd. Kamal, Khairidzan Benchmarked pterygium images for human and machine graders |
description |
In the absence of ground truth, scores from many graders are required to obtain good representation of a clinical grading. The internet enables quick feedback from the experts at the comfort of their home of office. In this study, we demonstrated the use of online form as a tool to get quick feedback from clinicians on clinical grading of pterygium images with various severities. The scores were analyzed using quartile analysis and the median was used to construct the benchmark scores for the images. This dataset was tested on assessing human grader and was later fitted with neural network to measure the performance of the machine learning algorithm. |
format |
Article |
author |
Che Azemin, Mohd Zulfaezal Abdul Gaffur, Norfazrina Hilmi, Mohd Radzi Mohd Tamrin, Mohd Izzudin Mohd. Kamal, Khairidzan |
author_facet |
Che Azemin, Mohd Zulfaezal Abdul Gaffur, Norfazrina Hilmi, Mohd Radzi Mohd Tamrin, Mohd Izzudin Mohd. Kamal, Khairidzan |
author_sort |
Che Azemin, Mohd Zulfaezal |
title |
Benchmarked pterygium images for human and machine graders |
title_short |
Benchmarked pterygium images for human and machine graders |
title_full |
Benchmarked pterygium images for human and machine graders |
title_fullStr |
Benchmarked pterygium images for human and machine graders |
title_full_unstemmed |
Benchmarked pterygium images for human and machine graders |
title_sort |
benchmarked pterygium images for human and machine graders |
publisher |
Medwell Journals, 2016 |
publishDate |
2016 |
url |
http://irep.iium.edu.my/54743/ http://irep.iium.edu.my/54743/ http://irep.iium.edu.my/54743/1/2016%20Journal%20of%20Engineering%20and%20Applied%20Sciences.pdf http://irep.iium.edu.my/54743/6/54743_Benchmarked%20pterygium_Scopus.pdf |
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2023-09-18T21:17:25Z |
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2023-09-18T21:17:25Z |
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1777411655518388224 |