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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Publicat a:Transl Vis Sci Technol
Autors principals: Musial, Gwen, Queener, Hope M., Adhikari, Suman, Mirhajianmoghadam, Hanieh, Schill, Alexander W., Patel, Nimesh B., Porter, Jason
Format: Artigo
Idioma:Inglês
Publicat: The Association for Research in Vision and Ophthalmology 2020
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Special Issue
Accés en línia:https://ncbi.nlm.nih.gov/pmc/articles/PMC7424955/
https://ncbi.nlm.nih.gov/pubmed/32855847
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1167/tvst.9.2.43
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