Machine Learning for Medical Image Reconstruction / Lecture Notes in Computer Science Bd.12450 (PDF)
Third International Workshop, MLMIR 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 8, 2020, Proceedings
(Sprache: Englisch)
This book constitutes the refereed proceedings of the Third International Workshop on Machine Learning for Medical Reconstruction, MLMIR 2020, held in conjunction with MICCAI 2020, in Lima, Peru, in October 2020. The workshop was held...
sofort als Download lieferbar
eBook (pdf)
54.99 €
- Lastschrift, Kreditkarte, Paypal, Rechnung
- Kostenloser tolino webreader
Produktdetails
Produktinformationen zu „Machine Learning for Medical Image Reconstruction / Lecture Notes in Computer Science Bd.12450 (PDF)“
This book constitutes the refereed proceedings of the Third International Workshop on Machine Learning for Medical Reconstruction, MLMIR 2020, held in conjunction with MICCAI 2020, in Lima, Peru, in October 2020. The workshop was held virtually.
The 15 papers presented were carefully reviewed and selected from 18 submissions. The papers are organized in the following topical sections: deep learning for magnetic resonance imaging and deep learning for general image reconstruction.
Bibliographische Angaben
- 2020, 1st ed. 2020, 163 Seiten, Englisch
- Herausgegeben: Farah Deeba, Patricia Johnson, Tobias Würfl, Jong Chul Ye
- Verlag: Springer International Publishing
- ISBN-10: 3030615987
- ISBN-13: 9783030615987
- Erscheinungsdatum: 21.10.2020
Abhängig von Bildschirmgröße und eingestellter Schriftgröße kann die Seitenzahl auf Ihrem Lesegerät variieren.
eBook Informationen
- Dateiformat: PDF
- Größe: 35 MB
- Ohne Kopierschutz
- Vorlesefunktion
Sprache:
Englisch
Kommentar zu "Machine Learning for Medical Image Reconstruction / Lecture Notes in Computer Science Bd.12450"
Schreiben Sie einen Kommentar zu "Machine Learning for Medical Image Reconstruction / Lecture Notes in Computer Science Bd.12450".
Kommentar verfassen