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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...

Ausführliche Beschreibung

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Bibliographische Detailangaben
Veröffentlicht in:Biomed Opt Express
Hauptverfasser: Heisler, Morgan, Ju, Myeong Jin, Bhalla, Mahadev, Schuck, Nathan, Athwal, Arman, Navajas, Eduardo V., Beg, Mirza Faisal, Sarunic, Marinko V.
Format: Artigo
Sprache:Inglês
Veröffentlicht: Optical Society of America 2018
Schlagworte:
Online Zugang: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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