Fairness and generalizability of OCT normative databases: a comparative analysis

Fairness and generalizability of OCT normative databases: a comparative analysis

Abstract Purpose In supervised Machine Learning algorithms, labels and reports are important in model development. To provide a normality assessment, the OCT has an in-built normative database that provides a color base scale from the measurement database comparison. This article aims to evaluate an...

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Bibliographic Details
Main Authors: Luis Filipe Nakayama, Lucas Zago Ribeiro, Juliana Angelica Estevão de Oliveira, João Carlos Ramos Gonçalves de Matos, William Greig Mitchell, Fernando Korn Malerbi, Leo Anthony Celi, Caio Vinicius Saito Regatieri
Format: Article
Language:English
Published: BMC 2023-08-01
Series:International Journal of Retina and Vitreous
Subjects:
Optical coherence tomography
Fairness
Generalizability
Database
Supervised machine learning
Online Access:https://doi.org/10.1186/s40942-023-00459-8

Internet

https://doi.org/10.1186/s40942-023-00459-8

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