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Deep-MEG: spatiotemporal CNN features and multiband ensemble classification for predicting the early signs of Alzheimer's disease with magnetoencephalography.
In: Neural Computing & Applications, Jg. 33 (2021-11-01), Heft 21, S. 14651-14667
Online
academicJournal
Zugriff:
Titel: |
Deep-MEG: spatiotemporal CNN features and multiband ensemble classification for predicting the early signs of Alzheimer's disease with magnetoencephalography.
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Autor/in / Beteiligte Person: | Giovannetti, Antonio ; Susi, Gianluca ; Casti, Paola ; Mencattini, Arianna ; Pusil, Sandra ; López, María Eugenia ; Di Natale, Corrado ; Martinelli, Eugenio |
Link: | |
Zeitschrift: | Neural Computing & Applications, Jg. 33 (2021-11-01), Heft 21, S. 14651-14667 |
Veröffentlichung: | 2021 |
Medientyp: | academicJournal |
ISSN: | 0941-0643 (print) |
DOI: | 10.1007/s00521-021-06105-4 |
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