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Automatic segmentation of up to ten layer boundaries in SD-OCT images of the mouse retina with and without missing layers due to pathology

Accurate quantification of retinal layer thicknesses in mice as seen on optical coherence tomography (OCT) is crucial for the study of numerous ocular and neurological diseases. However, manual segmentation is time-consuming and subjective. Previous attempts to automate this process were limited to...

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Detalhes bibliográficos
Main Authors: Srinivasan, Pratul P., Heflin, Stephanie J., Izatt, Joseph A., Arshavsky, Vadim Y., Farsiu, Sina
Formato: Artigo
Idioma:Inglês
Publicado em: Optical Society of America 2014
Assuntos:
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC3920868/
https://ncbi.nlm.nih.gov/pubmed/24575332
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1364/BOE.5.000348
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