Global review of publicly available image datasets for the anterior segment of the eye.

Autor:	Niestrata M; From the NIHR Biomedical Research Centre at Moorfields Eye Hospital NHS Foundation Trust and UCL Institute of Ophthalmology, London, United Kingdom (Niestrata, Allan); Moorfields Eye Hospital NHS Foundation Trust, London, United Kingdom (Radia, Allan); Data and Statistics Department, University of East London, London, United Kingdom (Jackson)., Radia M, Jackson J, Allan B
Jazyk:	angličtina
Zdroj:	Journal of cataract and refractive surgery [J Cataract Refract Surg] 2024 Nov 01; Vol. 50 (11), pp. 1184-1190.
DOI:	10.1097/j.jcrs.0000000000001538
Abstrakt:	This study comprehensively reviewed publicly available image datasets for the anterior segment, with a focus on cataract, refractive, and corneal surgeries. The goal was to assess characteristics of existing datasets and identify areas for improvement. PubMED and Google searches were performed using the search terms "refractive surgery," "anterior segment," "cornea," "corneal," "cataract" AND "database," with the related word of "imaging." Results of each of these searches were collated, identifying 26 publicly available anterior segment image datasets. Imaging modalities included optical coherence tomography, photography, and confocal microscopy. Most datasets were small, 80% originated in the U.S., China, or Europe. Over 50% of images were from normal eyes. Disease states represented included keratoconus, corneal ulcers, and Fuchs dystrophy. Most of the datasets were incompletely described. To promote accessibility going forward to 2030, the ESCRS Digital Health Special Interest Group will annually update a list of available image datasets for anterior segment at www.escrs.org . (Copyright © 2024 The Author(s). Published by Wolters Kluwer Health, Inc. on behalf of ASCRS and ESCRS.)
Databáze:	MEDLINE
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