3 citations · 5 across the 3 of their papers we have counts for
3 papers
LUNet: Deep Learning for the Segmentation of Arterioles and Venules in High Resolution Fundus Images
Jonathan Fhima, Jan Van Eijgen, Hana Kulenovic +7
The retina is the only part of the human body in which blood vessels can be accessed non-invasively using imaging techniques such as digital fundus images (DFI). The spatial distri…
PVBM: A Python Vasculature Biomarker Toolbox Based On Retinal Blood Vessel Segmentation
Jonathan Fhima, Jan Van Eijgen, Ingeborg Stalmans +3
Introduction: Blood vessels can be non-invasively visualized from a digital fundus image (DFI). Several studies have shown an association between cardiovascular risk and vascular f…
Automatic Segmentation of the Optic Nerve Head Region in Optical Coherence Tomography: A Methodological Review
Rita Marques, Danilo Andrade De Jesus, João Barbosa Breda +6
The optic nerve head represents the intraocular section of the optic nerve (ONH), which is prone to damage by intraocular pressure. The advent of optical coherence tomography (OCT)…