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European Health Evidence

The European alternative to PubMed

EUVIMED is the European alternative to PubMed: a central, multilingual research platform for medicine, nursing, life sciences and healthcare. It brings together international and European literature sources, study registries, open-access full texts, citations and retraction notices in one search. Unlike pure bibliographic databases, EUVIMED supports the entire research process – from discovery and appraisal with LIVIA and CLARA to traceable evidence synthesis. European in focus, transparent, interoperable and designed for science and healthcare.

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Lokaler Crossref-Datenbestand · journal-article

CornOrb: A Multimodal Dataset of Orbscan Corneal Topography and Clinical Annotations for Keratoconus Detection

Mohammed El Amine Lazouni, Leila Ryma Lazouni, Zineb Aziza Elaouaber, Mohammed Ammar, Soufyane Zehar, Mohammed Youcef Bouayad Agha, Ahmed Lazouni, Amel Feroui, Ali H. Al-Timemy, Siamak Yousefi, Mostafa El Habib Daho

Data · 2026

Vollständiger Abstract

Worum geht es in dieser Arbeit?

Keratoconus assessment relies on corneal topography to characterize curvature, elevation, and thickness. Public datasets remain limited, particularly for Orbscan 3 and underrepresented geographic populations. CornOrb is a multimodal dataset of Bausch & Lomb Orbscan 3 examinations retrospectively collected at an ophthalmology center in Algeria. It contains 1454 examination records from 744 patients: 889 clinically normal and 565 keratoconus records. For each eye, four anonymized PNG maps are provided: axial curvature, anterior elevation, posterior elevation, and pachymetry. Native pixel-wise quantitative curvature, elevation, and pachymetry matrices are not available in the current release. A structured CSV file provides age, sex, astigmatism, maximum keratometry, central and thinnest pachymetry, and anterior and posterior asphericity. Diagnostic labels correspond to the final adjudicated binary clinical diagnosis at the examination level and were established from clinical records together with Orbscan 3 findings. Only clinically definite normal and keratoconus cases were retained, whereas borderline, suspected, forme-fruste, subclinical, or otherwise diagnostically uncertain cases were excluded from the binary dataset. No independent quantitative diagnostic or staging index was used as a corroborating criterion, and inter-rater reliability could not be retrospectively quantified. Accordingly, performance on CornOrb should be interpreted within this adjudicated binary task and should not be extrapolated to early-stage, subclinical, or borderline keratoconus detection. CornOrb is intended to support reproducible research on keratoconus detection and analysis, including image-based classification, multimodal learning combining topographic maps and tabular variables, and reproducible comparative evaluation of machine-learning methods within the CornOrb cohort. To the best of our knowledge, CornOrb is the first publicly accessible African Orbscan 3 dataset dedicated to keratoconus analysis.

Bibliografischer Nachweis

Publikationsdaten

Autor:innen
Mohammed El Amine Lazouni, Leila Ryma Lazouni, Zineb Aziza Elaouaber, Mohammed Ammar, Soufyane Zehar, Mohammed Youcef Bouayad Agha, Ahmed Lazouni, Amel Feroui, Ali H. Al-Timemy, Siamak Yousefi, Mostafa El Habib Daho
Quelle
Data
Publikation
2026-01-01
Band / Ausgabe
Nicht angegeben
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ISSN / ISBN
2306-5729
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Zitierfähiger Nachweis

Mohammed El Amine Lazouni, Leila Ryma Lazouni, Zineb Aziza Elaouaber, Mohammed Ammar, Soufyane Zehar, Mohammed Youcef Bouayad Agha, Ahmed Lazouni, Amel Feroui, Ali H. Al-Timemy, Siamak Yousefi, Mostafa El Habib Daho (2026). CornOrb: A Multimodal Dataset of Orbscan Corneal Topography and Clinical Annotations for Keratoconus Detection. Data. https://doi.org/10.3390/data11090227
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