Underlying Microstructure of Parapapillary Deep-Layer Capillary Dropout Identified by Optical Coherence Tomography Angiography | Zendy

Eun Ji Lee | Zendy; TaeWoo Kim | Zendy; Seung Hyen Lee | Zendy; Jung-Ah Kim | Zendy

Open Access

Underlying Microstructure of Parapapillary Deep-Layer Capillary Dropout Identified by Optical Coherence Tomography Angiography

Author(s) -

Eun Ji Lee,

TaeWoo Kim,

Seung Hyen Lee,

Jung-Ah Kim

Publication year - 2017

Publication title -

investigative ophthalmology and visual science

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 1.935

H-Index - 218

eISSN - 1552-5783

pISSN - 0146-0404

DOI - 10.1167/iovs.17-21440

Subject(s) - dropout (neural networks) , optical coherence tomography , optical coherence tomography angiography , medicine , ophthalmology , coherence (philosophical gambling strategy) , optics , physics , computer science , quantum mechanics , machine learning

To characterize the microstructure underlying the parapapillary deep-layer microvasculature dropout (MvD) identified by optical coherence tomography (OCT) angiography (OCTA) in eyes with primary open-angle glaucoma (POAG).

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