Length-adaptive graph search for automatic segmentation of pathological features in optical coherence tomography images-Reference-Cited by-同舟云学术

Length-adaptive graph search for automatic segmentation of pathological features in optical coherence tomography images

Published:2016-07-28 Issue:7 Volume:21 Page:076015
ISSN:1083-3668
Container-title:Journal of Biomedical Optics
language:en
Short-container-title:J. Biomed. Opt

Author:

Keller Brenton¹,Cunefare David¹,Grewal Dilraj S.²,Mahmoud Tamer H.²,Izatt Joseph A.³,Farsiu Sina³

Affiliation:

1. Duke University, Department of Biomedical Engineering, 101 Science Drive, Campus Box 90281, Durham, North Carolina 27708, United States

2. Duke University, Department of Ophthalmology, Duke University Medical Center, Durham, North Carolina 27710, United States

3. Duke University, Department of Biomedical Engineering, 101 Science Drive, Campus Box 90281, Durham, North Carolina 27708, United StatesbDuke University, Department of Ophthalmology, Duke University Medical Center, Durham, North Carolina 27710, United Stat

Publisher

SPIE-Intl Soc Optical Eng

Subject

Biomedical Engineering,Atomic and Molecular Physics, and Optics,Biomaterials,Electronic, Optical and Magnetic Materials

Reference41 articles.

1. Optical Coherence Tomography

2. Automatic segmentation of seven retinal layers in SDOCT images congruent with expert manual segmentation

3. Intra-retinal layer segmentation in optical coherence tomography images

4. Automated 3-D Intraretinal Layer Segmentation of Macular Spectral-Domain Optical Coherence Tomography Images

5. Automated detection of retinal layer structures on optical coherence tomography images

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