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...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English English |
| Published: |
American Scientific Publishers
2016
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| Subjects: | |
| Online Access: | 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 |
| Summary: | 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. |
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