CATALYZE: a deep learning approach for cataract assessment and grading on SS-OCT images

The deep learning pipeline CATALYZE based on Anterion SS-OCT may be a reliable and comprehensive objective cataract grading method.

Authors

Pierre Zéboulon (ORCID: https://orcid.org/0000-0003-2192-3210)
Damien Gatinel (ORCID: https://orcid.org/0000-0001-9603-0500)
Jacques Bijon
Christophe Panthier (ORCID: https://orcid.org/0000-0001-8205-0252)
Hélène Rouger

Institutions

Fondation de Rothschild (FR)

Publication Details

Journal: Journal of Cataract & Refractive Surgery
Published: 2024-12-16
DOI: https://doi.org/10.1097/j.jcrs.0000000000001598
Primary Topic: Retinal Imaging and Analysis
Type: article
Field-Weighted Citation Impact: 0.00

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OCT

article

CATALYZE: a deep learning approach for cataract assessment and grading on SS-OCT images

Pierre Zéboulon, Damien Gatinel, Jacques Bijon, Christophe Panthier et al.

Dec 16, 2024

Journal of Cataract & Refractive Surgery

Retinal Imaging and Analysis

article

CATALYZE: a deep learning approach for cataract assessment and grading on SS-OCT images

Pierre Zéboulon, Damien Gatinel, Jacques Bijon, Christophe Panthier, Hélène Rouger

December 16, 2024article en

Abstract

The deep learning pipeline CATALYZE based on Anterion SS-OCT may be a reliable and comprehensive objective cataract grading method.

Journal of Cataract & Refractive SurgeryVol. 51(3)

Fondation de Rothschild (FR)

Reduced inequalities

Openalex Percentile: Top 60%

Retinal Imaging and Analysis

DOI Source OpenAlex

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CATALYZE: a deep learning approach for cataract assessment and grading on SS-OCT images — Pierre Zéboulon, Damien Gatinel, et al. · Journal of Cataract & Refractive Surgery (2024) | TGRS Research Map | TGRS