Research Article
Strabismus Diagnosis and Angular Deviation Calculation Based on Artificial Intelligence Approaches: A Review
@INPROCEEDINGS{10.1007/978-3-031-86493-3_14, author={Madior Gueye and Ousmane Khoum and Mandicou Ba and Idy Diop and Alassane Bah and Doudou Dione and Regina Esi Turkson and Aly Mb K\~{a}}, title={Strabismus Diagnosis and Angular Deviation Calculation Based on Artificial Intelligence Approaches: A Review}, proceedings={Innovations and Interdisciplinary Solutions for Underserved Areas. 7th International Conference, InterSol 2024, Dakar, Senegal, July 3--4, 2024, Proceedings}, proceedings_a={INTERSOL}, year={2025}, month={4}, keywords={Strabismus Amblyopia Angular Deviation Artificial Intelligence Hirschberg Test}, doi={10.1007/978-3-031-86493-3_14} }- Madior Gueye
Ousmane Khoum
Mandicou Ba
Idy Diop
Alassane Bah
Doudou Dione
Regina Esi Turkson
Aly Mb Kâ
Year: 2025
Strabismus Diagnosis and Angular Deviation Calculation Based on Artificial Intelligence Approaches: A Review
INTERSOL
Springer
DOI: 10.1007/978-3-031-86493-3_14
Abstract
In Senegal, there is 1 ophthalmologist per 507,000 inhabitants whereas the World Health Organization (WHO) standard is 1 ophthalmologist per 250,000 inhabitants. In addition, out of the country's 14 regions, 6 regions have no ophthalmologist. 84% of ophthalmologists are stationed in the capital, Dakar. Rural areas lack qualified human resources. WHO estimates that 88.4 million people worldwide are visually impaired as a result of uncorrected refractive errors such as amblyopia (irreversible visual impairment). It is a cause of children dropping from school. One of the causes of amblyopia is strabismus. Strabismus is a defect in the parallelism of the eyes. WHO estimates the worldwide prevalence rate of strabismus at 2 to 5% in Caucasians and 0.37 to 1.5% in African melanoderma. It is important to diagnose children at an early age so that they can be treated quickly. The objective is to spare them a visual handicap in the future. To assist ophthalmologists, automatic diagnostic methods for strabismus based on artificial intelligence approaches have been proposed in the literature. In this article, we provide an overview of projects that involve the use of image processing basic techniques, machine learning and deep learning approaches for strabismus diagnosis and angular deviation calculation.
