Deep learning model for detecting cystoid fluid collections on optical coherence tomography in X‐linked retinoschisis patients

Our validated DL model accurately segments and quantifies CFC on SD-OCT in XLRS, paving the way for reliable monitoring of structural changes. However, systematic overestimation by the DL model was observed, highlighting a key limitation for future refinement.

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Publication Details

Journal
Acta Ophthalmologica
Published
2025-04-04
DOI
https://doi.org/10.1111/aos.17495
Citations
3
Primary Topic
Retinal Imaging and Analysis
Type
article
Field-Weighted Citation Impact
4.08
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OCT
article

Deep learning model for detecting cystoid fluid collections on optical coherence tomography in X‐linked retinoschisis patients

Hind Almushattat, Coen de Vente, Jonathan Hensman, Camiel J.F. Boon et al.
3 citations
Acta Ophthalmologica
Retinal Imaging and Analysis
4.08
article

Deep learning model for detecting cystoid fluid collections on optical coherence tomography in X‐linked retinoschisis patients

Hind Almushattat, Coen de Vente, Jonathan Hensman, Camiel J.F. Boon, Clara I. Sánchez, Yasmine el Allali
article en
3 citations

Abstract

Our validated DL model accurately segments and quantifies CFC on SD-OCT in XLRS, paving the way for reliable monitoring of structural changes. However, systematic overestimation by the DL model was observed, highlighting a key limitation for future refinement.

Acta OphthalmologicaVol. 103(6)
Leiden University Medical Center (NL), Amsterdam University Medical Centers (NL), University of Amsterdam (NL)
Openalex Percentile: Top 7%
Retinal Imaging and Analysis
4.08
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