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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...
Autores principales: | Yagis, Ekin, Atnafu, Selamawet Workalemahu, García Seco de Herrera, Alba, Marzi, Chiara, Scheda, Riccardo, Giannelli, Marco, Tessa, Carlo, Citi, Luca, Diciotti, Stefano |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
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Materias: | |
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 |
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