Uncertainty-aware performance assessment of optical imaging modalities with invertible neural networks
Purpose Optical imaging is evolving as a key technique for advanced sensing in the operating room. Recent research has shown that machine learning algorithms can be used to address the inverse problem...
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| Hauptverfasser: | , , , , , |
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| Dokumenttyp: | Article (Journal) |
| Sprache: | Englisch |
| Veröffentlicht: |
22 March 2019
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| In: |
International journal of computer-assisted language learning and teaching
Year: 2019, Jahrgang: 14, Heft: 6, Pages: 997-1007 |
| ISSN: | 2155-7101 |
| DOI: | 10.1007/s11548-019-01939-9 |
| Online-Zugang: | Verlag, Volltext: https://doi.org/10.1007/s11548-019-01939-9 Verlag, Volltext: https://link.springer.com/article/10.1007/s11548-019-01939-9 
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| Verfasserangaben: | Tim J. Adler, Lynton Ardizzone, Anant Vemuri, Leonardo Ayala, Janek Gröhl, Thomas Kirchner, Sebastian Wirkert, Jakob Kruse, Carsten Rother, Ullrich Köthe, Lena Maier-Hein |
| Zusammenfassung: | Purpose Optical imaging is evolving as a key technique for advanced sensing in the operating room. Recent research has shown that machine learning algorithms can be used to address the inverse problem... |
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| Beschreibung: | Gesehen am 17.09.2019 |
| Beschreibung: | Online Resource |
| ISSN: | 2155-7101 |
| DOI: | 10.1007/s11548-019-01939-9 |