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Enhancing retinal vessel segmentation generalization via layout-aware generative modelling

Year: 2026

Type: article

Abstract: Enhancing retinal vessel segmentation generalization via layout-aware generative modelling, Fhima, Jonathan, Van Eijgen, Jan, Beeckmans, Lennert, Jacobs, Thomas, Freiman, Moti, Nakayama, Luis Filipe, Stalmans, Ingeborg, Baskin, Chaim, Behar, Joachim A

Source: Machine Learning Health

DOI: 10.1088/3049-477x/aeb380

Authors: Jonathan Fhima, Jan Van Eijgen, Lennert Beeckmans, Thomas Jacobs, Moti Freiman, Luis Filipe Nakayama, Ingeborg Stalmans, Chaim Baskin, Joachim A Behar

Institutions: Technion – Israel Institute of Technology, KU Leuven, Universitair Ziekenhuis Leuven, Universidade Federal de São Paulo, Ben-Gurion University of the Negev

Language: English

Topic: Retinal Imaging and Analysis

Subfield: Radiology, Nuclear Medicine and Imaging

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: gold

Estimated APC paid: $3,125

OpenAlex ID: W4415084347

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