CNN-Based Device-Agnostic Feature Extraction From ONH OCT Scans

This open-source software can robustly extract a wide range of biomarkers from any OCT device, removing the dependency on manufacturer-specific algorithms, which has significant implications for patient follow-up and collaborative research.

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Publication Details

Journal
Translational Vision Science & Technology
Published
2024-12-03
DOI
https://doi.org/10.1167/tvst.13.12.5
Citations
2
Primary Topic
Glaucoma and retinal disorders
Type
article
Field-Weighted Citation Impact
1.08

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OCT
article

CNN-Based Device-Agnostic Feature Extraction From ONH OCT Scans

Hans G. Lemij, Karin A. van Garderen, Bart Liefers, Luisa Sánchez Brea et al.
2 citations
Translational Vision Science & Technology
Glaucoma and retinal disorders
1.08
article

CNN-Based Device-Agnostic Feature Extraction From ONH OCT Scans

Hans G. Lemij, Karin A. van Garderen, Bart Liefers, Luisa Sánchez Brea, Caroline C. W. Klaver, Pieter W. M. Bonnemaijer, Doreen Nelson-Ayifah, Angelina Ampong, João Barbosa‐Breda, Alberta A. H. J. Thiadens, Danilo Andrade De Jesus, Sjoerd J. Driessen
article en
2 citations

Abstract

This open-source software can robustly extract a wide range of biomarkers from any OCT device, removing the dependency on manufacturer-specific algorithms, which has significant implications for patient follow-up and collaborative research.

Translational Vision Science & TechnologyVol. 13(12)
Radboud University Nijmegen (NL), Universidade do Porto (PT), Komfo Anokye Teaching Hospital (GH), Erasmus MC (NL), Radboud University Medical Center (NL), Kwame Nkrumah University of Science and Technology (GH), Hospital de São João (PT), Rotterdam Eye Hospital (NL), Institute of Molecular and Clinical Ophthalmology Basel (CH), KU Leuven (BE)
BrightFocus Foundation, Stichting Steunfonds Uitzicht, European Commission, ZonMw, Erasmus Medisch Centrum, Landelijke Stichting voor Blinden en Slechtzienden
Openalex Percentile: Top 21%
Glaucoma and retinal disorders
1.08
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