AIMC Topic: Retinal Perforations
Clear Filters Showing 11 to 13 of 13 articles
DETECTION AND LOCALIZATION OF RETINAL BREAKS IN ULTRAWIDEFIELD FUNDUS PHOTOGRAPHY USING a YOLO v3 ARCHITECTURE-BASED DEEP LEARNING MODEL.
Retina (Philadelphia, Pa.)
Oct 1, 2022
PURPOSE: We aimed to develop a deep learning model for detecting and localizing retinal breaks in ultrawidefield fundus (UWF) images.
A Deep Learning Method for Automatic Identification of Drusen and Macular Hole from Optical Coherence Tomography.
Studies in health technology and informatics
May 25, 2022
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...
Predicting Visual Improvement After Macular Hole Surgery: A Combined Model Using Deep Learning and Clinical Features.
Translational vision science & technology
Apr 1, 2022
PURPOSE: The purpose of this study was to assess the feasibility of deep learning (DL) methods to enhance the prediction of visual acuity (VA) improvement after macular hole (MH) surgery from a combined model using DL on high-definition optical coher...
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