Automatic Cone Photoreceptor Localisation in Healthy and Stargardt Afflicted Retinas Using Deep Learning

We present a robust deep learning framework for the automatic localisation of cone photoreceptor cells in Adaptive Optics Scanning Light Ophthalmoscope (AOSLO) split-detection images. Monitoring cone photoreceptors with AOSLO imaging grants an excellent view into retinal structure and health, provid...

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Detalles Bibliográficos
Autores principales: Davidson, Benjamin, Kalitzeos, Angelos, Carroll, Joseph, Dubra, Alfredo, Ourselin, Sebastien, Michaelides, Michel, Bergeles, Christos
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5962538/
https://www.ncbi.nlm.nih.gov/pubmed/29784939
http://dx.doi.org/10.1038/s41598-018-26350-3

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5962538/
https://www.ncbi.nlm.nih.gov/pubmed/29784939
http://dx.doi.org/10.1038/s41598-018-26350-3

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