6th Edition of Neurology World Conference 2026

Speakers - NWC 2024

Robert W Enzenauer

  • Designation: Robert W. Enzenauer is the Chief of Pediatric Ophthalmology and the Director of the Pediatric Ophthalmology & Strabismus Fellowship at the University of Colorado Anschutz Medical Campus
  • Country: USA
  • Title: Machine learning based papilledema detection leveraging the quantification of optic disc margin clarity

Abstract

Optic disc margin blurring is an established sign of papilledema. This study presents machine learning (ML)-based quantification of optic disc margin clarity for papilledema detection. Using a publicly-available fundus photograph dataset, transfer learning was employed utilizing a VGG-19 model. Computer vision methods were performed for the quantification of optic disc margin clarity and model explainability; image segmentation techniques were utilized for the automatic detection and orientation of optic disc centers. The VGG-19 model achieved 92.8% accuracy in classifying normal optic discs, pseudopapilledema, and papilledema; edge detection methods demonstrated significant differences between the optic disc margin clarity of the three classes (p < .001) and ML models achieved 94.7% classification accuracy utilizing the extracted metrics. Thresholds of clinical significance for papilledema detection can be establ-basedished by leveraging the quantification of optic disc margin clarity aided by machine learning, providing a bridge between deep learning image analysis and clinical practice.