An Automated Strabismus Classification Using Case-Based Reasoning Algorithm For Binocular Vision Management System
Binocular vision is a type of vision that allows an individual to perceive depth and distance using both eyes to create a single image of their environment. However, there is an illness called strabismus, where it is difficult for some people to focus on seeing things clearly at a time. There are a...
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| Format: | Undergraduates Project Papers |
| Language: | English |
| Published: |
2023
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| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/40595/ http://umpir.ump.edu.my/id/eprint/40595/1/CB20014.pdf |
| _version_ | 1848826092993904640 |
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| author | Muhammad Amirul Isyraf, Rohismadi |
| author_facet | Muhammad Amirul Isyraf, Rohismadi |
| author_sort | Muhammad Amirul Isyraf, Rohismadi |
| building | UMP Institutional Repository |
| collection | Online Access |
| description | Binocular vision is a type of vision that allows an individual to perceive depth and distance using both eyes to create a single image of their environment. However, there is an illness called strabismus, where it is difficult for some people to focus on seeing things clearly at a time. There are a lot of diagnosis need to be done for doctors to diagnose whether patients suffer from strabismus or not. One of them is to perform accommodate amplitude test, which is time-consuming. Thus, with the Agile methodology, the Binocular Vision Management system is proposed which comprised of two components, a web-based component for patient, treatment, and appointment management, and a machine learning component for automating the strabismus classification by using case-based reasoning algorithm. Therefore, this will significantly hasten the process of classifying strabismus and help keep all clinical records in one place. |
| first_indexed | 2025-11-15T03:39:20Z |
| format | Undergraduates Project Papers |
| id | ump-40595 |
| institution | Universiti Malaysia Pahang |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T03:39:20Z |
| publishDate | 2023 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | ump-405952024-03-04T09:34:48Z http://umpir.ump.edu.my/id/eprint/40595/ An Automated Strabismus Classification Using Case-Based Reasoning Algorithm For Binocular Vision Management System Muhammad Amirul Isyraf, Rohismadi QA75 Electronic computers. Computer science Binocular vision is a type of vision that allows an individual to perceive depth and distance using both eyes to create a single image of their environment. However, there is an illness called strabismus, where it is difficult for some people to focus on seeing things clearly at a time. There are a lot of diagnosis need to be done for doctors to diagnose whether patients suffer from strabismus or not. One of them is to perform accommodate amplitude test, which is time-consuming. Thus, with the Agile methodology, the Binocular Vision Management system is proposed which comprised of two components, a web-based component for patient, treatment, and appointment management, and a machine learning component for automating the strabismus classification by using case-based reasoning algorithm. Therefore, this will significantly hasten the process of classifying strabismus and help keep all clinical records in one place. 2023-02 Undergraduates Project Papers NonPeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/40595/1/CB20014.pdf Muhammad Amirul Isyraf, Rohismadi (2023) An Automated Strabismus Classification Using Case-Based Reasoning Algorithm For Binocular Vision Management System. Faculty of Computing, Universiti Malaysia Pahang Al-Sultan Abdullah. |
| spellingShingle | QA75 Electronic computers. Computer science Muhammad Amirul Isyraf, Rohismadi An Automated Strabismus Classification Using Case-Based Reasoning Algorithm For Binocular Vision Management System |
| title | An Automated Strabismus Classification Using Case-Based Reasoning Algorithm For Binocular Vision Management System |
| title_full | An Automated Strabismus Classification Using Case-Based Reasoning Algorithm For Binocular Vision Management System |
| title_fullStr | An Automated Strabismus Classification Using Case-Based Reasoning Algorithm For Binocular Vision Management System |
| title_full_unstemmed | An Automated Strabismus Classification Using Case-Based Reasoning Algorithm For Binocular Vision Management System |
| title_short | An Automated Strabismus Classification Using Case-Based Reasoning Algorithm For Binocular Vision Management System |
| title_sort | automated strabismus classification using case-based reasoning algorithm for binocular vision management system |
| topic | QA75 Electronic computers. Computer science |
| url | http://umpir.ump.edu.my/id/eprint/40595/ http://umpir.ump.edu.my/id/eprint/40595/1/CB20014.pdf |