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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Autores principales: 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
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2021
Materias:
Medicine
R
Science
Q
Acceso en línea:https://doaj.org/article/be6715e33983492dae1872506a4e189d
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