Reconstruction, Segmentation, and Analysis of Medical Images
Springer International Publishing (Verlag)
978-3-319-52279-1 (ISBN)
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.
Registration.- Reconstruction.- Deep learning for heart segmentation.- Discrete optimization and probabilistic intensity modeling.- Atlas-based strategies.- Random forests.
Erscheinungsdatum | 10.02.2017 |
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Reihe/Serie | Image Processing, Computer Vision, Pattern Recognition, and Graphics | Lecture Notes in Computer Science |
Zusatzinfo | XI, 174 p. 67 illus. |
Verlagsort | Cham |
Sprache | englisch |
Maße | 155 x 235 mm |
Themenwelt | Informatik ► Grafik / Design ► Digitale Bildverarbeitung |
Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik | |
Schlagworte | 3D cardiac MRI • Applications • Applied Computing • Automatic segmentation • cardiac image segmentation • Computer Science • computer vision • Computing Methodologies • conference proceedings • Deep learning • Image Analysis • Image Processing • image processing and computer vision • Informatics • life and medical sciences • machine learning • Magnetic Resonance Imaging • Modeling and Simulation • Motion • random forest • reconstruction • registration • Research • Segmentation • super-resolution reconstruction • tagged MRI • tissue maps • total variation |
ISBN-10 | 3-319-52279-5 / 3319522795 |
ISBN-13 | 978-3-319-52279-1 / 9783319522791 |
Zustand | Neuware |
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