Graph Learning in Medical Imaging / Lecture Notes in Computer Science Bd.11849 (PDF)
First International Workshop, GLMI 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 17, 2019, Proceedings
(Sprache: Englisch)
This book constitutes the refereed proceedings of the First International Workshop on Graph Learning in Medical Imaging, GLMI 2019, held in conjunction with MICCAI 2019 in Shenzhen, China, in October 2019.
The 21 full papers presented were carefully...
The 21 full papers presented were carefully...
sofort als Download lieferbar
eBook (pdf)
Fr. 59.00
inkl. MwSt.
- Kreditkarte, Paypal, Rechnung
- Kostenloser tolino webreader
Produktdetails
Produktinformationen zu „Graph Learning in Medical Imaging / Lecture Notes in Computer Science Bd.11849 (PDF)“
This book constitutes the refereed proceedings of the First International Workshop on Graph Learning in Medical Imaging, GLMI 2019, held in conjunction with MICCAI 2019 in Shenzhen, China, in October 2019.
The 21 full papers presented were carefully reviewed and selected from 42 submissions. The papers focus on major trends and challenges of graph learning in medical imaging and present original work aimed to identify new cutting-edge techniques and their applications in medical imaging.
Bibliographische Angaben
- 2019, 1st ed. 2019, 182 Seiten, Englisch
- Herausgegeben: Daoqiang Zhang, Luping Zhou, Biao Jie, Mingxia Liu
- Verlag: Springer-Verlag GmbH
- ISBN-10: 3030358178
- ISBN-13: 9783030358174
- Erscheinungsdatum: 13.11.2019
Abhängig von Bildschirmgrösse und eingestellter Schriftgrösse kann die Seitenzahl auf Ihrem Lesegerät variieren.
eBook Informationen
- Dateiformat: PDF
- Grösse: 36 MB
- Ohne Kopierschutz
- Vorlesefunktion
Sprache:
Englisch
Kommentar zu "Graph Learning in Medical Imaging / Lecture Notes in Computer Science Bd.11849"
0 Gebrauchte Artikel zu „Graph Learning in Medical Imaging / Lecture Notes in Computer Science Bd.11849“
| Zustand | Preis | Porto | Zahlung | Verkäufer | Rating |
|---|
Schreiben Sie einen Kommentar zu "Graph Learning in Medical Imaging / Lecture Notes in Computer Science Bd.11849".
Kommentar verfassen