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Development and validation of a deep learning algorithm for distinguishing the nonperfusion area from signal reduction artifacts on OCT angiography
The capillary nonperfusion area (NPA) is a key quantifiable biomarker in the evaluation of diabetic retinopathy (DR) using optical coherence tomography angiography (OCTA). However, signal reduction artifacts caused by vitreous floaters, pupil vignetting, or defocus present significant obstacles to a...
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| Udgivet i: | Biomed Opt Express |
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| Main Authors: | , , , , , , , , |
| Format: | Artigo |
| Sprog: | Inglês |
| Udgivet: |
Optical Society of America
2019
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| Fag: | |
| Online adgang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6640834/ https://ncbi.nlm.nih.gov/pubmed/31360599 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1364/BOE.10.003257 |
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