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Lieferstatus:	i.d.R. innert 7-14 Tagen versandfertig
Veröffentlichung:	September 2018
Genre:	EDV / Informatik
	Artificial Intelligence / C / Computer architecture & logic design / Computer Communication Networks / Computer communication systems / computer science / Computer Vision / Computeranwendungen in Industrie und Technologie / Health & safety aspects of IT / Health Informatics / Image processing / Image Processing and Computer Vision / Logic Design / Maschinelles Sehen, Bildverstehen / Medical technologies / Network hardware / Netzwerk-Hardware / Neural Networks / Optical data processing / Rechnerarchitektur und Logik-Entwurf / reconstruction / Sensors mehr...
ISBN:	9783030001285
EAN-Code:	9783030001285
Verlag:	Springer EN
Einband:	Kartoniert
Sprache:	English
Serie:	Image Processing, Computer Vision, Pattern Recognition, and Graphics #11074 - Lecture Notes in Computer Science
Dimensionen:	H 235 mm / B 155 mm / D 9 mm
Gewicht:	267 gr
Seiten:	158
Illustration:	X, 158 p. 67 illus., schwarz-weiss Illustrationen
Zus. Info:	EUDR exemption - product or manufacturing materials placed on the market prior to 31.12.2025.
Bewertung:	Titel bewerten / Meinung schreiben

Inhalt:

This book constitutes the refereed proceedings of the First International Workshop on Machine Learning for Medical Reconstruction, MLMIR 2018, held in conjunction with MICCAI 2018, in Granada, Spain, in September 2018. The 17 full papers presented were carefully reviewed and selected from 21 submissions. The papers are organized in the following topical sections: deep learning for magnetic resonance imaging; deep learning for computed tomography, and deep learning for general image reconstruction.