Übersicht			Auf mobile öffnen

Lieferstatus:	Auf Bestellung (Lieferzeit unbekannt)
Veröffentlichung:	Oktober 2016
Genre:	EDV / Informatik
	Artificial Intelligence / Automated Pattern Recognition / Bildgebende Verfahren / C / Computer Graphics / computer science / Computer Vision / Computeranwendungen in Industrie und Technologie / Grafikprogrammierung / Graphics programming / Health Informatics / Image Processing and Computer Vision / Imaging / Radiology / Information technology# general issues / Künstliche Intelligenz / Medical equipment & techniques / Medical imaging / Mustererkennung / Optical data processing / pattern recognition / Radiology / statistical atlases / Support Vector Machines / Visualization / X-ray imaging mehr...
ISBN:	9783319467221
EAN-Code:	9783319467221
Verlag:	Springer EN
Einband:	Kartoniert
Sprache:	English
Serie:	Image Processing, Computer Vision, Pattern Recognition, and Graphics #9901 - Lecture Notes in Computer Science
Dimensionen:	H 235 mm / B 155 mm / D
Gewicht:	10876 gr
Seiten:	703
Illustration:	XXV, 703 p. 238 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 9900, 9901, and 9902 constitutes the refereed proceedings of the 19th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2016, held in Athens, Greece, in October 2016. Based on rigorous peer reviews, the program committee carefully selected 228 revised regular papers from 756 submissions for presentation in three volumes. The papers have been organized in the following topical sections: Part I: brain analysis, brain analysis - connectivity; brain analysis - cortical morphology; Alzheimer disease; surgical guidance and tracking; computer aided interventions; ultrasound image analysis; cancer image analysis; Part II: machine learning and feature selection; deep learning in medical imaging; applications of machine learning; segmentation; cell image analysis; Part III: registration and deformation estimation; shape modeling; cardiac and vascular image analysis; image reconstruction; and MR imageanalysis.