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.
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Abstract
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.
| Item Type: | Undergraduates Project Papers |
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| Additional Information: | SV: Dr. Anis Farihan binti Mat Raffei |
| Uncontrolled Keywords: | Agile methodology, case-based reasoning algorithm |
| Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
| Faculty/Division: | Faculty of Computing |
| Depositing User: | Mr. Nik Ahmad Nasyrun Nik Abd Malik |
| Date Deposited: | 04 Mar 2024 09:34 |
| Last Modified: | 04 Mar 2024 09:34 |
| URI: | http://umpir.ump.edu.my/id/eprint/40595 |
| Download Statistic: | View Download Statistics |
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