Inflation of test accuracy due to data leakage in deep learning-based classification of OCT images

In the application of deep learning on optical coherence tomography (OCT) data, it is common to train classification networks using 2D images originating from volumetric data. Given the micrometer resolution of OCT systems, consecutive images are often very similar in both visible structures and noi...

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Detalles Bibliográficos
Autores principales: Tampu, Iulian Emil, Eklund, Anders, Haj-Hosseini, Neda
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Analysis
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9500039/
https://www.ncbi.nlm.nih.gov/pubmed/36138025
http://dx.doi.org/10.1038/s41597-022-01618-6

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9500039/
https://www.ncbi.nlm.nih.gov/pubmed/36138025
http://dx.doi.org/10.1038/s41597-022-01618-6

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