Reconstruction, segmentation, and analysis of medical images : first International Workshops, RAMBO 2016 and HVSMR 2016, held in conjunction with MICCAI 2016, Athens, Greece, October 17, 2016, Revised selected papers / Maria A. Zuluaga, Kanwal Bhatia, Bernhard Kainz, Mehdi H. Moghari, Danielle F. Pace (eds.).
Material type:
TextSeries: Lecture notes in computer science ; 10129. | LNCS sublibrary. SL 6, Image processing, computer vision, pattern recognition, and graphics.Publisher: Cham, Switzerland : Springer, 2017Description: 1 online resource (xi, 174 pages) : illustrationsContent type: - text
- computer
- online resource
- 9783319522807
- 3319522809
- RAMBO 2016
- HVSMR 2016
- Diagnostic imaging -- Data processing -- Congresses
- Diagnostic imaging -- Digital techniques -- Congresses
- Diagnostic imaging
- Diagnostic Imaging
- Imagerie pour le diagnostic -- Informatique -- Congrès
- Imagerie pour le diagnostic -- Techniques numériques -- Congrès
- Imagerie pour le diagnostic
- Image processing
- Computers -- Computer Graphics
- Diagnostic imaging
- Diagnostic imaging -- Data processing
- Diagnostic imaging -- Digital techniques
- 616.07/54 23
- RC78.7.D53
- WN 180
| Item type | Current library | Collection | Call number | Status | Date due | Barcode | Item holds | |
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eBook
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e-Library | eBook LNCS | Available |
Includes author index.
Online resource; title from PDF title page (SpringerLink, viewed January 27, 2017).
Registration -- Reconstruction -- Deep learning for heart segmentation -- Discrete optimization and probabilistic intensity modeling -- Atlas-based strategies -- Random forests.
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.
Includes bibliographical references and author index.