Machine Learning in Medical Imaging / Lecture Notes in Computer Science Bd.10541 (PDF)
8th International Workshop, MLMI 2017, Held in Conjunction with MICCAI 2017, Quebec City, QC, Canada, September 10, 2017, Proceedings
(Sprache: Englisch)
This book constitutes the refereed proceedings of the 8th International Workshop on Machine Learning in Medical Imaging, MLMI 2017, held in conjunction with MICCAI 2017, in Quebec City, QC, Canada, in September 2017.
The 44 full papers presented...
The 44 full papers presented...
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Produktinformationen zu „Machine Learning in Medical Imaging / Lecture Notes in Computer Science Bd.10541 (PDF)“
This book constitutes the refereed proceedings of the 8th International Workshop on Machine Learning in Medical Imaging, MLMI 2017, held in conjunction with MICCAI 2017, in Quebec City, QC, Canada, in September 2017.
The 44 full papers presented in this volume were carefully reviewed and selected from 63 submissions. The main aim of this workshop is to help advance scientific research within the broad field of machine learning in medical imaging. The workshop focuses on major trends and challenges in this area, and presents works aimed to identify new cutting-edge techniques and their use in medical imaging.
Bibliographische Angaben
- 2017, 1st ed. 2017, 391 Seiten, Englisch
- Herausgegeben: Qian Wang, Yinghuan Shi, Heung-Il Suk, Kenji Suzuki
- Verlag: Springer-Verlag GmbH
- ISBN-10: 3319673890
- ISBN-13: 9783319673899
- Erscheinungsdatum: 06.09.2017
Abhängig von Bildschirmgrösse und eingestellter Schriftgrösse kann die Seitenzahl auf Ihrem Lesegerät variieren.
eBook Informationen
- Dateiformat: PDF
- Grösse: 71 MB
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Englisch
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