Automated Detection of Posterior Vitreous Detachment on OCT Using Computer Vision and Deep Learning Algorithms

To develop automated algorithms for the detection of posterior vitreous detachment (PVD) using OCT imaging. Evaluation of a diagnostic test or technology. Overall, 42 385 consecutive OCT images (865 volumetric OCT scans) obtained with Heidelberg Spectralis from 865 eyes from 464 patients at an acade...

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Bibliographic Details
Published in:	Ophthalmology science (Online) Vol. 3; no. 2; p. 100254
Main Authors:	Li, Alexa L., Feng, Moira, Wang, Zixi, Baxter, Sally L., Huang, Lingling, Arnett, Justin, Bartsch, Dirk-Uwe G., Kuo, David E., Saseendrakumar, Bharanidharan Radha, Guo, Joy, Nudleman, Eric
Format:	Journal Article
Language:	English
Published:	Netherlands Elsevier Inc 01.06.2023 Elsevier
Subjects:	Artificial Intelligence and Big Data Automated detection Deep Learning OCT Ophthalmology Posterior vitreous detachment ViT OCT CNN Automated detection AI DL AUROC ILM Deep Learning Posterior vitreous detachment PVD internal limiting membrane convolutional neural network area under the receiver operator characteristic curve artificial intelligence vision transformers AI, artificial intelligence ViT, vision transformers PVD, posterior vitreous detachment AUROC, area under the receiver operator characteristic curve DL, deep learning CNN, convolutional neural network ILM, internal limiting membrane
ISSN:	2666-9145, 2666-9145
Online Access:	Get full text
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