Comparative Analysis of Automated vs. Expert-Designed Machine Learning Models in Age-Related Macular Degeneration Detection and Classification.

Journal: Turkish journal of ophthalmology
Published Date:

Abstract

OBJECTIVES: To compare the effectiveness of expert-designed machine learning models and code-free automated machine learning (AutoML) models in classifying optical coherence tomography (OCT) images for detecting age-related macular degeneration (AMD) and distinguishing between its dry and wet forms.

Authors

  • Ceren Durmaz Engin
    Department of Ophthalmology, Izmir Democracy University Buca Seyfi Demirsoy Education and Research Hospital, Izmir, Turkey.
  • Ufuk Beşenk
    Dokuz Eylül University Faculty of Engineering, Department of Electrical and Electronics Engineering, İzmir, Türkiye.
  • Denizcan Özizmirliler
    Dr. Nevruz Erez State Hospital, Clinic of Ophthalmology, Iğdır, Türkiye.
  • Mustafa Alper Selver
    Department of Biomedical Technologies, Dokuz Eylul University, Izmir, Turkey.