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Automated identification of cone photoreceptors in adaptive optics optical coherence tomography images using transfer learning

Automated measurements of the human cone mosaic requires the identification of individual cone photoreceptors. The current gold standard, manual labeling, is a tedious process and can not be done in a clinically useful timeframe. As such, we present an automated algorithm for identifying cone photor...

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Библиографические подробности
Опубликовано в: :Biomed Opt Express
Главные авторы: Heisler, Morgan, Ju, Myeong Jin, Bhalla, Mahadev, Schuck, Nathan, Athwal, Arman, Navajas, Eduardo V., Beg, Mirza Faisal, Sarunic, Marinko V.
Формат: Artigo
Язык:Inglês
Опубликовано: Optical Society of America 2018
Предметы:
Online-ссылка:https://ncbi.nlm.nih.gov/pmc/articles/PMC6238943/
https://ncbi.nlm.nih.gov/pubmed/30460133
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1364/BOE.9.005353
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