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Applicability of oculomics for individual risk prediction: Repeatability and robustness of retinal Fractal Dimension using DART and AutoMorph
March 12, 2024, 4:49 a.m. | Justin Engelmann, Diana Moukaddem, Lucas Gago, Niall Strang, Miguel O. Bernabeu
cs.CV updates on arXiv.org arxiv.org
Abstract: Purpose: To investigate whether Fractal Dimension (FD)-based oculomics could be used for individual risk prediction by evaluating repeatability and robustness. Methods: We used two datasets: Caledonia, healthy adults imaged multiple times in quick succession for research (26 subjects, 39 eyes, 377 colour fundus images), and GRAPE, glaucoma patients with baseline and follow-up visits (106 subjects, 196 eyes, 392 images). Mean follow-up time was 18.3 months in GRAPE, thus it provides a pessimistic lower-bound as vasculature …
abstract arxiv cs.cv dart datasets fractal multiple prediction q-bio.qm research risk robustness succession type
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