Dry Eye Disease Classification Using AlexNet Classifier

Authors

  • Yuva Krishna Aluri Assistant Professor, Department of Computer Science and Engineering, Prasad V Potluri Siddhartha Institute of Technology, Kanuru, Vijayawada, Andhra Pradesh, India.
  • B. Aruna Devi Professor, Department of Electronics and Communication Engineering, Dr.NGP Institute of Technology, Coimbatore, Tamilnadu, India.
  • N. Alangudi Balaji Professor, Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Vijayawada, Andhra Pradesh, India.
  • Vidyabharathi Dakshinamurthi Associate Professor, Department of Computer Science and Engineering, Sona College of Technology, Salem, Taminadu, India.
  • Ramesh Babu P. Associate Professor, Department of Computer Science, College of Engineering and Technology, Wollega University, Nekemte, Oromia Region, Ethiopia.
  • Sivaram Rajeyyagari Department of Computer Science, College of Computing and Information Technology, Shaqra University, Shaqra, Saudi Arabi.

Keywords:

Tears, AlexNet, Dry Eye Disease, ocular surface disease, Classifier

Abstract

Reduced tear production and/or quality are typical causes of dry eye disease (DED), also known as ocular surface disease. Its rapid progression to a chronic, treatment-resistant illness can be attributed to its multifactorial character, which involves multiple underlying illnesses that are intertwined with one another. For this reason, it is often recommended that many treatment modalities be employed simultaneously in order to achieve adequate management of DED. In many situations, the first line of defense is a topically applied artificial tear supplement, followed by the administration of therapeutically active eyedrops. However, the drops are quickly cleared from the precorneal region by the eye natural defensive mechanisms, reducing the drug potential to penetrate the eye. Commonly used excipients in eyedrops can be harmful to the eyes and exacerbate DED symptoms.

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Published

05.12.2023

How to Cite

Aluri, Y. K. ., Aruna Devi, B. ., Balaji, N. A. ., Dakshinamurthi, V. ., Babu P., R. ., & Rajeyyagari, S. . (2023). Dry Eye Disease Classification Using AlexNet Classifier. International Journal of Intelligent Systems and Applications in Engineering, 12(7s), 263–271. Retrieved from https://www.ijisae.org/index.php/IJISAE/article/view/4070

Issue

Vol. 12 No. 7s (2024)

Section

Research Article

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