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Medical Image Computing and Computer-Assisted Intervention – MICCAI 2016 [[electronic resource] ] : 19th International Conference, Athens, Greece, October 17-21, 2016, Proceedings, Part I / / 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 [[electronic resource] ] : 19th International Conference, Athens, Greece, October 17-21, 2016, Proceedings, Part I / / edited by Sebastien Ourselin, Leo Joskowicz, Mert R. Sabuncu, Gozde Unal, William Wells Visualizza cluster
Pubblicazione: Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016
Edizione: 1st ed. 2016.
Descrizione fisica: 1 online resource (XLIV, 681 p. 273 illus., 269 illus. in color.)
Disciplina: 616.0757
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
Nota di bibliografia: Includes bibliographical references and index.
Nota di contenuto: Brain analysis -- Brain analysis - connectivity -- Brain analysis - cortical morphology -- Alzheimer disease -- Surgical guidance and tracking -- Computer aided interventions -- Ultrasound image analysis -- cancer 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  Visualizza cluster
ISBN: 3-319-46720-4
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 996465641403316
Lo trovi qui: Univ. di Salerno
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Serie: Image Processing, Computer Vision, Pattern Recognition, and Graphics ; ; 9900