Convolutional Neural Network–Based Automated Quality Assessment of OCT and OCT Angiography Image Maps in Individuals With Neurodegenerative Disease-Reference-Cited by-同舟云学术

Convolutional Neural Network–Based Automated Quality Assessment of OCT and OCT Angiography Image Maps in Individuals With Neurodegenerative Disease

Published:2023-06-30 Issue:6 Volume:12 Page:30
ISSN:2164-2591
Container-title:Translational Vision Science & Technology
language:en
Short-container-title:Trans. Vis. Sci. Tech.

Author:

Lee Terry¹²,Rivera Alexandra¹³,Brune Matthew¹³,Kundu Anita¹²,Haystead Alice¹³,Winslow Lauren¹³,Kundu Raj¹³,Wisely C. Ellis¹²,Robbins Cason B.¹²,Henao Ricardo⁴⁵,Grewal Dilraj S.¹²,Fekrat Sharon¹²⁶

Affiliation:

1. iMIND Study Group, Duke University School of Medicine, Durham, NC, USA

2. Department of Ophthalmology, Duke University School of Medicine, Durham, NC, USA

3. Pratt School of Engineering, Duke University, Durham, NC, USA

4. Department of Electrical and Computer Engineering, Duke University, Durham, NC, USA

5. Department of Biostatistics & Bioinformatics, Duke University, Durham, NC, USA

6. Department of Neurology, Duke University School of Medicine, Durham, NC, USA

Publisher

Association for Research in Vision and Ophthalmology (ARVO)

Subject

Ophthalmology,Biomedical Engineering

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