most citedLUNet: Deep Learning for the Segmentation of Arterioles and Venules in High Resolution Fundus Images

2 citations · 2 across the 2 of their papers we have counts for

collaborators
Showing eess.IVShow all

2 papers · 1 filter

eess.IV2025

GONet: A Generalizable Deep Learning Model for Glaucoma Detection

Or Abramovich, Hadas Pizem, Jonathan Fhima +8

Glaucomatous optic neuropathy (GON) is a prevalent ocular disease that can lead to irreversible vision loss if not detected early and treated. The traditional diagnostic approach f…

eess.IV2023★ 2 cited

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…