An Automated Strabismus Classification Using Case-Based Reasoning Algorithm For Binocular Vision Management System

• Main Author: Muhammad Amirul Isyraf, Rohismadi
• Format: Undergraduates Project Papers
• Language: English
• Published: 2023
• Subjects: QA75 Electronic computers. Computer science
• Online Access: http://umpir.ump.edu.my/id/eprint/40595/1/CB20014.pdf; http://umpir.ump.edu.my/id/eprint/40595/

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.