Effect of data leakage in brain MRI classification using 2D convolutional neural networks

In recent years, 2D convolutional neural networks (CNNs) have been extensively used to diagnose neurological diseases from magnetic resonance imaging (MRI) data due to their potential to discern subtle and intricate patterns. Despite the high performances reported in numerous studies, developing CNN...

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Detalles Bibliográficos
Autores principales: Yagis, Ekin, Atnafu, Selamawet Workalemahu, García Seco de Herrera, Alba, Marzi, Chiara, Scheda, Riccardo, Giannelli, Marco, Tessa, Carlo, Citi, Luca, Diciotti, Stefano
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8604922/
https://www.ncbi.nlm.nih.gov/pubmed/34799630
http://dx.doi.org/10.1038/s41598-021-01681-w

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8604922/
https://www.ncbi.nlm.nih.gov/pubmed/34799630
http://dx.doi.org/10.1038/s41598-021-01681-w

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