Search Results for "retinal"

OCTAVA is designed for quantitative characterization of microvascular archetecture based on OCTA images OCTAVA is available free for use under an MIT licence. If you use this software in your research, please cite the following papers: Untracht, G.R., Durkee, M.S., Zhao, M. et al. Towards standardising retinal OCT angiography image analysis with open-source toolbox OCTAVA. Sci Rep 14, 5979 (2024). https://doi.org/10.1038/s41598-024-53501-6 Untracht GR, Matos RS, Dikaios N, Bapir M, Durrani AK, Butsabong T, et al. (2021) OCTAVA: An open-source toolbox for quantitative analysis of optical coherence tomography angiography images. PLoS ONE 16(12): e0261052. https://doi.org/10.1371/journal.pone.0261052

...GENUA PESTO is a database of stereoscopic natural images rendered mimicking the posture of human eyes. The database provides: - stereoscopic pair - ground-truth depth - ground-truth retinal disparity - depth edges - occlusions The database is downloadable at: Canessa A., Gibaldi A., Chessa M., Fato M., Solari F., Sabatini S.P. Dryad Digital Repository. http://dx.doi.org/10.5061/dryad.6t8vq, (2016).

NOTE: This project is now hosted at GitHub. Please follow the link below to visit its new home.

...In his book semiology of graphics, Bertin described for the first time the legibility rules for the design of 2D graphical representations from three aspects - graphical density, angular separation and retinal separation. Bertin's theory on the graphic design stated in this book has been the theoretical foundation of information visualization. Motivated by these guidelines for legible 2D graphic design, a plausible design space for legible 3D scientific visualizations has been proposed. Presumably, I include all the three basic dimensions above inherited from Bertin's theory in the design space, as has been on the basis of current scientific visualization literature with respect to visual legibility issues as far as I read. ...

Human Machine integration for vessel segmentation has as main objective finding precise methods for the segmentation of blood vessels in retinal images, with the main goal of improving screening and diagnosis procedures.