Automatic Detection of Cone Photoreceptors With Fully Convolutional Networks

PURPOSE: To develop a fully automatic method, based on deep learning algorithms, for determining the locations of cone photoreceptors within adaptive optics scanning laser ophthalmoscope images and evaluate its performance against a dataset of manually segmented images. METHODS: A fully convolutiona...

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Detalles Bibliográficos
Autores principales: Hamwood, Jared, Alonso-Caneiro, David, Sampson, Danuta M., Collins, Michael J., Chen, Fred K.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Association for Research in Vision and Ophthalmology 2019
Materias:
Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6855369/
https://www.ncbi.nlm.nih.gov/pubmed/31737434
http://dx.doi.org/10.1167/tvst.8.6.10

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6855369/
https://www.ncbi.nlm.nih.gov/pubmed/31737434
http://dx.doi.org/10.1167/tvst.8.6.10

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