Medical Image Computing and Computer-Assisted Intervention -  MICCAI 2016 (häftad)
Format
Häftad (Paperback / softback)
Språk
Engelska
Antal sidor
681
Utgivningsdatum
2016-10-02
Upplaga
1st ed. 2016
Förlag
Springer International Publishing AG
Medarbetare
Ourselin, Sebastien (ed.), Joskowicz, Leo (ed.), Sabuncu, Mert R. (ed.), Unal, Gozde (ed.), Wells, Williams (ed.)
Illustratör/Fotograf
Bibliographie 4 schwarz-weiße und 269 farbige Abbildungen
Illustrationer
269 Illustrations, color; 4 Illustrations, black and white; XLIV, 681 p. 273 illus., 269 illus. in c
Volymtitel
Part I
Dimensioner
234 x 156 x 37 mm
Vikt
1003 g
Antal komponenter
1
Komponenter
1 Paperback / softback
ISBN
9783319467191
Medical Image Computing and Computer-Assisted Intervention -  MICCAI 2016 (häftad)

Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016

19th International Conference, Athens, Greece, October 17-21, 2016, Proceedings, Part I

Häftad Engelska, 2016-10-02
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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.
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Innehållsförteckning

Brain analysis.- Brain analysis - connectivity.- Brain analysis - cortical morphology.- Alzheimer disease.- Surgical guidance and tracking.- Computer aided interventions.- Ultrasound image analysis.- cancer image analysis.