Review of Localization Techniques for Macula using Fundus Images

  • Adeel Muzaffar Syed Software Engineering Department, Bahria University Islamabad, Pakistan
  • Aleem Ahmed Software Engineering Department, Bahria University Islamabad, Pakistan
  • Joddat Fatima Software Engineering Department, Bahria University Islamabad, Pakistan
Keywords: Macula, Macula Detection, Fundus, Fundus Images, Machine Learning, Artificial Intelligence

Abstract

Macula is also known as fovea and is present by both names in the literature. Localization of macula plays a vital role in computerized diagnosis of ocular diseases. If the macula is not localized properly, it leads to miscalculation and wrong verdict about the disease. Localization of macula has been an old task and a lot of research has been done in this field. Majority of the researchers have used public datasets and have published their results. Newer literature tries to update the existing work by bringing novelty in the work and increasing the performance parameters. It is therefore helpful for a lot of people in the field that a review of these techniques may be presented.

Published
2022-04-21
How to Cite
[1]
A. Syed, A. Ahmed, and J. Fatima, “Review of Localization Techniques for Macula using Fundus Images”, PakJET, vol. 4, no. 1, pp. 85-89, Apr. 2022.