Risk of data leakage in estimating the diagnostic performance of a deep-learning-based computer-aided system for psychiatric disorders

Deep-learning approaches with data augmentation have been widely used when developing neuroimaging-based computer-aided diagnosis (CAD) systems. To prevent the inflated diagnostic performance caused by data leakage, a correct cross-validation (CV) method should be employed, but this has been still o...

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Detalles Bibliográficos
Autores principales: Lee, Hyung-Tak, Cheon, Hye-Ran, Lee, Seung-Hwan, Shim, Miseon, Hwang, Han-Jeong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10547830/
https://www.ncbi.nlm.nih.gov/pubmed/37789047
http://dx.doi.org/10.1038/s41598-023-43542-8

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10547830/
https://www.ncbi.nlm.nih.gov/pubmed/37789047
http://dx.doi.org/10.1038/s41598-023-43542-8

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