Recent PublicationsView all
- [Show abstract] [Hide abstract] ABSTRACT: Binary vascular networks of the human retina were obtained by computerized processing of digital fundus images. Fractal analysis was performed on skeletonised versions. The effect of three parameters in the vascular segmentation and skeletonization algorithm was quantified, with threshold level found to have the greatest influence. The results were compared to fractal analysis of skeletons derived by manual tracing. The mean difference in fractal dimension between 2 observers is 0.004 (0.3%) and the coefficient of repeatability is +/- 0.050 (3.4%). Between a single observer and the computerized approach the mean difference is 0.012 (0.8%) and the coefficient is +/- 0.038 (2.6%). The computerized approach demonstrated a superior reliability compared to manual segmentation.
Information provided on this web page is aggregated encyclopedic and bibliographical information relating to the named institution. Information provided is not approved by the institution itself. The institution’s logo (and/or other graphical identification, such as a coat of arms) is used only to identify the institution in a nominal way. Under certain jurisdictions it may be property of the institution.