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

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

Abstract 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, devel...

Szczegółowa specyfikacja

Opis bibliograficzny
Główni autorzy: Ekin Yagis, Selamawet Workalemahu Atnafu, Alba García Seco de Herrera, Chiara Marzi, Riccardo Scheda, Marco Giannelli, Carlo Tessa, Luca Citi, Stefano Diciotti
Format: Artykuł
Język:English
Wydane: Nature Portfolio 2021-11-01
Seria:Scientific Reports
Dostęp online:https://doi.org/10.1038/s41598-021-01681-w

Internet

https://doi.org/10.1038/s41598-021-01681-w

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