Deep Learning for Prediction of AMD Progression: A Pilot Study.

Journal: Investigative ophthalmology & visual science

Published Date: Feb 1, 2019

Abstract

PURPOSE: To develop and assess a method for predicting the likelihood of converting from early/intermediate to advanced wet age-related macular degeneration (AMD) using optical coherence tomography (OCT) imaging and methods of deep learning.

Authors

Daniel B Russakoff

Voxeleron LLC, Pleasanton, California, United States.
Ali Lamin

NIHR Moorfields Biomedical Research Centre, London, United Kingdom.
Jonathan D Oakley

Voxeleron LLC, Pleasanton, California, United States.
Adam M Dubis

NIHR Moorfields Biomedical Research Centre, London, United Kingdom.
Sobha Sivaprasad

Moorfields Eye Hospital City Road Campus, London, UK.

Keywords

Aged Aged, 80 and over Deep Learning Diagnosis, Computer-Assisted Disease Progression Female Follow-Up Studies Humans Machine Learning Male Middle Aged Neural Networks, Computer Pilot Projects ROC Curve Tomography, Optical Coherence Wet Macular Degeneration

External Resources

View on PubMed Access via DOI PubMed (30786275)

Deep Learning for Prediction of AMD Progression: A Pilot Study.

Abstract

Authors

Keywords

External Resources

Popular Topics

Recent Journals