Sex-related difference in the retinal structure of young adults: a machine learning approach

Sex-related difference in the retinal structure of young adults: a machine learning approach

PurposeTo compare the accuracy of machine learning (ML) algorithms to classify the sex of the participant from retinal thickness datasets in different retinal layers.MethodsThis cross-sectional study involved 26 male and 38 female subjects. Data were acquired using HRA + OCT Spectralis, and the thic...

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Bibliographic Details
Main Authors: Flávia Monteiro Farias, Railson Cruz Salomão, Enzo Gabriel Rocha Santos, Andrew Sousa Caires, Gabriela Santos Alvarez Sampaio, Alexandre Antônio Marques Rosa, Marcelo Fernandes Costa, Givago Silva Souza
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-12-01
Series:Frontiers in Medicine
Subjects:
retina
retinal thickness
macula
machine learning
sex-related differences
Online Access:https://www.frontiersin.org/articles/10.3389/fmed.2023.1275308/full

Internet

https://www.frontiersin.org/articles/10.3389/fmed.2023.1275308/full

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