Improving 3D convolutional neural network comprehensibility via interactive visualization of relevance maps: evaluation in Alzheimer's disease
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| Hauptverfasser: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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| Dokumenttyp: | Article (Journal) |
| Sprache: | Englisch |
| Veröffentlicht: |
23 November 2021
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| In: |
Alzheimer's research & therapy
Year: 2021, Jahrgang: 13, Pages: 1-18 |
| ISSN: | 1758-9193 |
| DOI: | 10.1186/s13195-021-00924-2 |
| Online-Zugang: | Resolving-System, kostenfrei: http://dx.doi.org/10.1186/s13195-021-00924-2
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| Verfasserangaben: | Martin Dyrba, Moritz Hanzig, Slawek Altenstein, Sebastian Bader, Tommaso Ballarini, Frederic Brosseron, Katharina Buerger, Daniel Cantré, Peter Dechent, Laura Dobisch, Emrah Düzel, Michael Ewers, Klaus Fliessbach, Wenzel Glanz, John‑Dylan Haynes, Michael T. Heneka, Daniel Janowitz, Deniz B. Keles, Ingo Kilimann, Christoph Laske, Franziska Maier, Coraline D. Metzger, Matthias H. Munk, Robert Perneczky, Oliver Peters, Lukas Preis, Josef Priller, Boris Rauchmann, Nina Roy, Klaus Scheffler, Anja Schneider, Björn H. Schott, Annika Spottke, Eike J. Spruth, Marc‑André Weber, Birgit Ertl‑Wagner, Michael Wagner, Jens Wiltfang, Frank Jessen and Stefan J. Teipel for the ADNI, AIBL, DELCODE study groups |
MARC
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