open-source octave Search Results


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Johns Hopkins HealthCare oct segmentation technique
Agreement of retinal layer thickness measures derived from <t> JHU </t> segmentation of horizontally and vertically acquired Spectralis <t> OCT </t> macular scans.
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MathWorks Inc global sensitivity analysis matlab octave open-source software
Agreement of retinal layer thickness measures derived from <t> JHU </t> segmentation of horizontally and vertically acquired Spectralis <t> OCT </t> macular scans.
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MathWorks Inc psychophysics toolbox
Agreement of retinal layer thickness measures derived from <t> JHU </t> segmentation of horizontally and vertically acquired Spectralis <t> OCT </t> macular scans.
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Image Search Results


Agreement of retinal layer thickness measures derived from  JHU  segmentation of horizontally and vertically acquired Spectralis  OCT  macular scans.

Journal: Current eye research

Article Title: Analysis of agreement of retinal layer thickness measures derived from segmentation of horizontal and vertical Spectralis OCT macular scans.

doi: 10.1080/02713683.2017.1406526

Figure Lengend Snippet: Agreement of retinal layer thickness measures derived from JHU segmentation of horizontally and vertically acquired Spectralis OCT macular scans.

Article Snippet: An open source OCT segmentation technique developed at Johns Hopkins University (JHU) can be consistently and uniformly applied across different SD-OCT platforms enabling the determination of retinal layer thickness measures from different devices that can be potentially pooled for evaluating outcomes [ 24 ].

Techniques: Derivative Assay

Summary of the intra-class correlation coefficients (ICCs) (95% CI) of retinal layer thickness measures derived from Heidelberg and  JHU  segmentation of vertically and horizontally acquired Spectralis  OCT  macular scans.

Journal: Current eye research

Article Title: Analysis of agreement of retinal layer thickness measures derived from segmentation of horizontal and vertical Spectralis OCT macular scans.

doi: 10.1080/02713683.2017.1406526

Figure Lengend Snippet: Summary of the intra-class correlation coefficients (ICCs) (95% CI) of retinal layer thickness measures derived from Heidelberg and JHU segmentation of vertically and horizontally acquired Spectralis OCT macular scans.

Article Snippet: An open source OCT segmentation technique developed at Johns Hopkins University (JHU) can be consistently and uniformly applied across different SD-OCT platforms enabling the determination of retinal layer thickness measures from different devices that can be potentially pooled for evaluating outcomes [ 24 ].

Techniques: Derivative Assay