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

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      Abstract

      Segmentation of anatomical and pathological structures in ophthalmic images is crucial for the diagnosis and study of ocular diseases. However, manual segmentation is often a time-consuming and subjective process. This paper presents an automatic approach for segmenting retinal layers in Spectral Domain Optical Coherence Tomography images using graph theory and dynamic programming. Results show that this method accurately segments eight retinal layer boundaries in normal adult eyes more closely to an expert grader as compared to a second expert grader.

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      Most cited references 21

      • Record: found
      • Abstract: not found
      • Article: not found

      A Threshold Selection Method from Gray-Level Histograms

       Nobuyuki Otsu (1979)
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        • Record: found
        • Abstract: not found
        • Article: not found

        A note on two problems in connexion with graphs

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          • Record: found
          • Abstract: not found
          • Article: not found

          Normalized cuts and image segmentation

           Jianbo Shi,  S J Malik (2000)
            Bookmark

            Author and article information

            Affiliations
            [1 ]Department of Biomedical Engineering, Duke University, Durham, NC, 27708, USA
            [2 ]Department of Ophthalmology, Duke University Medical Center, Durham, NC, 27710, USA
            Journal
            Opt Express
            Opt Express
            OE
            Optics Express
            Optical Society of America
            1094-4087
            30 August 2010
            27 August 2010
            27 August 2011
            : 18
            : 18
            : 19413-19428
            20940837
            3408910
            131667
            10.1364/OE.18.019413
            ©2010 Optical Society of America

            This is an open-access article distributed under the terms of the Creative Commons Attribution-Noncommercial-No Derivative Works 3.0 Unported License, which permits download and redistribution, provided that the original work is properly cited. This license restricts the article from being modified or used commercially.

            Funding
            Funded by: NIH
            Award ID: R21 EY019411
            Funded by: The American Health Assistance Foundation
            Funded by: The Hartwell Foundation
            Funded by: Genentech
            Funded by: Duke Pratt Fellowship Program
            Categories
            Research-Article

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