Automatic Segmentation of Retinal Capillaries in Adaptive Optics Scanning Laser Ophthalmoscope Perfusion Images Using a Convolutional Neural Network

PURPOSE: Adaptive optics scanning laser ophthalmoscope (AOSLO) capillary perfusion images can possess large variations in contrast, intensity, and background signal, thereby limiting the use of global or adaptive thresholding techniques for automatic segmentation. We sought to develop an automated a...

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Detalles Bibliográficos
Autores principales: Musial, Gwen, Queener, Hope M., Adhikari, Suman, Mirhajianmoghadam, Hanieh, Schill, Alexander W., Patel, Nimesh B., Porter, Jason
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Association for Research in Vision and Ophthalmology 2020
Materias:
Special Issue
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7424955/
https://www.ncbi.nlm.nih.gov/pubmed/32855847
http://dx.doi.org/10.1167/tvst.9.2.43

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7424955/
https://www.ncbi.nlm.nih.gov/pubmed/32855847
http://dx.doi.org/10.1167/tvst.9.2.43

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