GLAUCOMA DETECTION SYSTEM ON THE BASIS COMBINING NB and RF CLASSIFIERS

Authors

  • M. Sreedhar Department of Electronics and Communication Engineering, SIMATS School of Engineering, SIMATS, Chennai - 602105, India
  • Radhika Baskar Department of Electronics and Communication Engineering, SIMATS School of Engineering, SIMATS, Chennai - 602105, India

DOI:

https://doi.org/10.58260/j.nras.2202.0110

Keywords:

Glaucoma Detection, Fundus Image, Combining Classifiers, Optic Cup, Optic Disc

Abstract

A group of vision-impairing eye conditions known as glaucoma damages the optic nerve, which is essential for clear vision. Frequently, the result is abnormally high ocular pressure. One of the leading causes of blindness in adults over 60 is glaucoma. However, it is more prevalent in older persons of all ages. Glaucoma must be diagnosed as soon as possible. This paper presents the Glaucoma Detection System (GDS), which combines classifiers. For the purpose of glaucoma detection, the GAD system employs the Naive Bayes (NB) and Random Forest (RF) classifiers. The major function of the optic disc and cup is to find anomalies in fundus pictures. The optic cup and optic disc are first extracted from the input fundus pictures, and a region of interest (ROI) is then found.

References

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Published

2023-01-20

How to Cite

M. Sreedhar, & Radhika Baskar. (2023). GLAUCOMA DETECTION SYSTEM ON THE BASIS COMBINING NB and RF CLASSIFIERS. Global Journal of Novel Research in Applied Sciences (NRAS) [ISSN: 2583-4487], 1(2), 37–41. https://doi.org/10.58260/j.nras.2202.0110

Issue

Vol. 1 No. 2 (2022): JULY-DEC

Section

Research Article

License

Copyright (c) 2023 M. Sreedhar, Radhika Baskar

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.