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 dat...

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Bibliographic Details
Main Authors:	Nakayama, Luis F., Zago Ribeiro, Lucas, de Oliveira, Juliana A. E., de Matos, João C. R. G., Mitchell, William G., Malerbi, Fernando K., Celi, Leo A., Regatieri, Caio V. S.
Other Authors:	Harvard--MIT Program in Health Sciences and Technology. Laboratory for Computational Physiology
Format:	Article
Language:	English
Published:	BioMed Central 2023
Online Access:	https://hdl.handle.net/1721.1/152267

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https://hdl.handle.net/1721.1/152267

Fairness and generalizability of OCT normative databases: a comparative analysis

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