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Lieferstatus:	i.d.R. innert 5-10 Tagen versandfertig
Veröffentlichung:	November 2019
Genre:	EDV / Informatik
	ArtificialIntelligence / Computer-Anwendungen in den Sozial- und Verhaltenswissenschaften / computeraideddiagnosis / ComputerNetworks / computersystems / Computervision / DeepLearning / graphtheory / imageprocessing / imagereconstruction / imagesegmentation / machinelearning / Maschinelles Sehen, Bildverstehen / Mathematics / MedicalImageAnalysis / medicalimagingdataanalytics / molecularimaging / networkarchitecture / networkprotocols / neuralnetworks / patternrecognition / signalprocessing mehr...
ISBN:	9783030358167
EAN-Code:	9783030358167
Verlag:	Springer
Einband:	Kartoniert
Sprache:	English
Dimensionen:	H 235 mm / B 155 mm / D 11 mm
Gewicht:	300 gr
Seiten:	192
Bewertung:	Titel bewerten / Meinung schreiben

Inhalt:

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.