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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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Detalhes bibliográficos
Publicado no:J Med Imaging (Bellingham)
Main Authors: Okuwobi, Idowu Paul, Fan, Wen, Yu, Chenchen, Yuan, Songtao, Liu, Qinghuai, Zhang, Yuhan, Loza, Bekalo, Chen, Qiang
Formato: Artigo
Idioma:Inglês
Publicado em: Society of Photo-Optical Instrumentation Engineers 2018
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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