Tomas Kubena

TL;DR: The concept of matched filtering is improved, and the proposed blood vessel segmentation approach is at least comparable with recent state-of-the-art methods, and outperforms most of them with an accuracy of 95% evaluated on the new database.

TL;DR: Evaluation revealed good applicability of the proposed approach to measure possible RNFL thinning, which uses the features based on Gaussian Markov random fields and local binary patterns together with various regression models for prediction of the RNFL thickness.

TL;DR: This work presents a novel, scalable and scalable approach that combines laser-spot assisted, 3D image recognition with traditional 2D image analysis to solve the mystery of how light is scattered in a 2D environment.

TL;DR: It is shown that local mean value, standard deviation, and Shannon entropy extracted from the green and blue channel of fundus images are correlated with corresponding RNFL thickness.

TL;DR: Findings in this study contribute to the understanding of PPCD3, for which currently, 49 pathogenic variants have been identified, all of which are predicted to be null alleles.