Development of a Semi-Automatic Segmentation Method for Retinal OCT Images Tested in Patients with Diabetic Macular Edema

To develop EdgeSelect, a semi-automatic method for the segmentation of retinal layers in spectral domain optical coherence tomography images, and to compare the segmentation results with a manual method. SD-OCT (Heidelberg Spectralis) scans of 28 eyes (24 patients with diabetic macular edema and 4 n...

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Vydané v:	PloS one Ročník 8; číslo 12; s. e82922
Hlavní autori:	Huang, Yijun, Danis, Ronald P., Pak, Jeong W., Luo, Shiyu, White, James, Zhang, Xian, Narkar, Ashwini, Domalpally, Amitha
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	United States Public Library of Science 26.12.2013 Public Library of Science (PLoS)
Predmet:	Algorithms Automation Clinical trials Diabetes Diabetes mellitus Diabetic retinopathy Diabetic Retinopathy - diagnosis Digital imaging Dimensional analysis Edema Engineering Epithelium Eye (anatomy) Feasibility studies Humans Image analysis Image processing Image segmentation Macular Degeneration - diagnosis Medical imaging Medical research Medicine Methods Observer Variation Optical Coherence Tomography Optics Patients Reading Reproducibility Reproducibility of Results Retina Retinal pigment epithelium Science Software Test procedures Tomography, Optical Coherence - methods United States > US Wisconsin
ISSN:	1932-6203, 1932-6203
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