Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016 : 19th International Conference, Athens, Greece, October 17-21, 2016, Proceedings, Part III / / edited by Sebastien Ourselin, Leo Joskowicz, Mert R. Sabuncu, Gozde Unal, William Wells

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Titolo:	Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016 : 19th International Conference, Athens, Greece, October 17-21, 2016, Proceedings, Part III / / edited by Sebastien Ourselin, Leo Joskowicz, Mert R. Sabuncu, Gozde Unal, William Wells
Pubblicazione:	Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016
Edizione:	1st ed. 2016.
Descrizione fisica:	1 online resource (XXIV, 641 p. 253 illus., 233 illus. in color.)
Disciplina:	616.07540285
Soggetto topico:	Optical data processing
	Pattern recognition
	Computer graphics
	Artificial intelligence
	Radiology
	Health informatics
	Image Processing and Computer Vision
	Pattern Recognition
	Computer Graphics
	Artificial Intelligence
	Imaging / Radiology
	Health Informatics
Persona (resp. second.):	OurselinSebastien
	JoskowiczLeo
	SabuncuMert R
	UnalGozde
	WellsWilliam
Note generali:	Includes index.
Nota di contenuto:	Registration and deformation estimation -- Shape modeling -- Cardiac and vascular image analysis -- Image reconstruction -- MR image analysis.
Sommario/riassunto:	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 image analysis.
Titolo autorizzato:	Medical Image Computing and Computer-Assisted Intervention – MICCAI 2016
ISBN:	3-319-46726-3
Formato:	Materiale a stampa
Livello bibliografico	Monografia
Lingua di pubblicazione:	Inglese
Record Nr.:	9910483924103321
Lo trovi qui:	Univ. Federico II
Opac:	Controlla la disponibilità qui

Serie: Image Processing, Computer Vision, Pattern Recognition, and Graphics ; ; 9902

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