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Titolo: | Reconstruction, Segmentation, and Analysis of Medical Images [[electronic resource] ] : First International Workshops, RAMBO 2016 and HVSMR 2016, Held in Conjunction with MICCAI 2016, Athens, Greece, October 17, 2016, Revised Selected Papers / / edited by Maria A. Zuluaga, Kanwal Bhatia, Bernhard Kainz, Mehdi H. Moghari, Danielle F. Pace |
Pubblicazione: | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 |
Edizione: | 1st ed. 2017. |
Descrizione fisica: | 1 online resource (XI, 174 p. 67 illus.) |
Disciplina: | 616.0754 |
Soggetto topico: | Optical data processing |
Image Processing and Computer Vision | |
Persona (resp. second.): | ZuluagaMaria A |
BhatiaKanwal | |
KainzBernhard | |
MoghariMehdi H | |
PaceDanielle F | |
Nota di contenuto: | Registration -- Reconstruction -- Deep learning for heart segmentation -- Discrete optimization and probabilistic intensity modeling -- Atlas-based strategies -- Random forests. |
Sommario/riassunto: | This book constitutes the refereed proceedings of two workshops held at the 19th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2016, in Athens, Greece, in October 2016: the First International Workshop on Reconstruction and Analysis of Moving Body Organs, RAMBO 2016, and the First International Workshop on Whole-Heart and Great Vessel Segmentation from 3D Cardiovascular MRI in Congenital Heart Disease, HVSMR 2016. The 17 revised regular papers presented in this book were carefully reviewed and selected from a total of 21 submissions. The papers cover following topics: Registration; Reconstruction; Deep learning for heart segmentation; Discrete optimization and probabilistic intensity modeling; Atlas-based strategies; Random forests. |
Titolo autorizzato: | Reconstruction, Segmentation, and Analysis of Medical Images |
ISBN: | 3-319-52280-9 |
Formato: | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione: | Inglese |
Record Nr.: | 996465747503316 |
Lo trovi qui: | Univ. di Salerno |
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