Key factors in a rigorous longitudinal image-based assessment of retinopathy of prematurity

Key factors in a rigorous longitudinal image-based assessment of retinopathy of prematurity

Abstract To describe a database of longitudinally graded telemedicine retinal images to be used as a comparator for future studies assessing grader recall bias and ability to detect typical progression (e.g. International Classification of Retinopathy of Prematurity (ICROP) stages) as well as increm...

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Bibliographic Details
Main Authors: Tatiana R. Rosenblatt, Marco H. Ji, Daniel Vail, Cassie A. Ludwig, Ahmad Al-Moujahed, Malini Veerappan Pasricha, Natalia F. Callaway, Jochen Kumm, Darius M. Moshfeghi
Format: Article
Language:English
Published: Nature Publishing Group 2021-03-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-021-84723-7

Internet

https://doi.org/10.1038/s41598-021-84723-7

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