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Lieferstatus:	Auf Bestellung (Lieferzeit unbekannt)
Veröffentlichung:	September 2017
Genre:	EDV / Informatik
	Artificial Intelligence / Automated Pattern Recognition / C / Computer applications in industry and technology / computer science / Computer Vision / Computeranwendungen in Industrie und Technologie / Health & safety aspects of IT / Health Informatics / Image Processing and Computer Vision / Künstliche Intelligenz / Mathematical & statistical software / Mathematical statistics / Mathematik für Informatiker / Maths for computer scientists / Mustererkennung / Optical data processing / pattern recognition / Probability and statistics / Probability and Statistics in Computer Science / reconstruction / segmentation methods / Signal Processing / Support Vector Machines (SVM) / Wahrscheinlichkeitsrechnung und Statistik mehr...
ISBN:	9783319661841
EAN-Code:	9783319661841
Verlag:	Springer EN
Einband:	Kartoniert
Sprache:	English
Serie:	Image Processing, Computer Vision, Pattern Recognition, and Graphics #10434 - Lecture Notes in Computer Science
Dimensionen:	H 235 mm / B 155 mm / D 46 mm
Gewicht:	12102 gr
Seiten:	785
Illustration:	XXVIII, 785 p. 319 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:

The three-volume set LNCS 10433, 10434, and 10435 constitutes the refereed proceedings of the 20th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2017, held inQuebec City, Canada, in September 2017. The 255 revised full papers presented were carefully reviewed and selected from 800 submissions in a two-phase review process. The papers have been organized in the following topical sections: Part I: atlas and surface-based techniques; shape and patch-based techniques; registration techniques, functional imaging, connectivity, and brain parcellation; diffusion magnetic resonance imaging (dMRI) and tensor/fiber processing; and image segmentation and modelling. Part II: optical imaging; airway and vessel analysis; motion and cardiac analysis; tumor processing; planning and simulation for medical interventions; interventional imaging and navigation; and medical image computing. Part III: feature extraction and classification techniques; and machine learning in medical image computing.