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Automated segmentation of hyperreflective foci in spectral domain optical coherence tomography with diabetic retinopathy
We propose an automated segmentation method to detect, segment, and quantify hyperreflective foci (HFs) in three-dimensional (3-D) spectral domain optical coherence tomography (SD-OCT). The algorithm is divided into three stages: preprocessing, layer segmentation, and HF segmentation. In this paper,...
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| Publicado no: | J Med Imaging (Bellingham) |
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| Main Authors: | , , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Society of Photo-Optical Instrumentation Engineers
2018
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5800482/ https://ncbi.nlm.nih.gov/pubmed/29430477 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1117/1.JMI.5.1.014002 |
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