A Deep Learning Method for Automatic Identification of Drusen and Macular Hole from Optical Coherence Tomography.
Journal:
Studies in health technology and informatics
Published Date:
May 25, 2022
Abstract
Deep Learning methods have become dominant in various fields of medical imaging, including ophthalmology. In this preliminary study, we investigated a method based on Convolutional Neural Network for the identification of drusen and macular hole from Optical Coherence Tomography scans with the aim to assist ophthalmologists in diagnosing and assessing retinal diseases.