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Stability Analysis of Fractal Dimension in Retinal Vasculature
Author(s) -
Fan Huang,
Jiong Zhang,
Erik J. Bekkers,
Behdad Dashtbozorg,
Bart M. ter Haar Romeny
Publication year - 2015
Language(s) - English
Resource type - Conference proceedings
DOI - 10.17077/omia.1020
Subject(s) - fractal dimension , biomarker , dimension (graph theory) , segmentation , stability (learning theory) , fractal , artificial intelligence , computer science , standard deviation , relative standard deviation , retina , pattern recognition (psychology) , statistics , mathematics , computer vision , machine learning , mathematical analysis , physics , optics , biology , combinatorics , biochemistry , detection limit
Fractal dimension (FD) has been considered as a potential biomarker for retina-based disease detection. However, conflicting find- ings can be found in the reported literature regarding the association of the biomarker with diseases. This motivates us to examine the stability of the FD on dierent (1) vessel segmentations obtained from human observers, (2) automatic segmentation methods, (3) threshold values, and (4) region-of-interests. Our experiments show that the correspond- ing relative errors with respect to reference ones, computed per patient, are generally higher than the relative standard deviation of the reference values themselves (among all patients). The conclusion of this paper is that we cannot fully rely on the studied FD values, and thus do not recommend their use in quantitative clinical applications.

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