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

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.

Sommario

Registration.- Reconstruction.- Deep learning for heart segmentation.- Discrete optimization and probabilistic intensity modeling.- Atlas-based strategies.- Random forests.

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.

Dettagli sul prodotto

• Con la collaborazione di: Kanwa Bhatia (Editore), Kanwal Bhatia (Editore), Bernhard Kainz (Editore), Bernhard Kainz et al (Editore), Mehdi H. Moghari (Editore), Danielle F. Pace (Editore), Maria A. Zuluaga (Editore)
• Editore: Springer, Berlin
• Lingue: Inglese
• Formato: Tascabile
• Pubblicazione: 28.02.2017
• EAN: 9783319522791
• ISBN: 978-3-31-952279-1
• Pagine: 174
• Dimensioni: 155 mm x 10 mm x 235 mm
• Peso: 295 g
• Illustrazioni: XI, 174 p. 67 illus.
• Serie: Lecture Notes in Computer Science; Image Processing, Computer Vision, Pattern Recognition, and Graphics; Lecture Notes in Computer Science; Image Processing, Computer Vision, Pattern Recognition, and Graphics
• Categorie: Scienze naturali, medicina, informatica, tecnica > Informatica, EDP > Software applicativo; C, Deep Learning, reconstruction, computer science, Computer Vision, Image Analysis, Image Processing and Computer Vision, motion, MAGNETIC RESONANCE IMAGING, Random Forest, Optical data processing, Applied computing, Segmentation, Computing methodologies, registration, automatic segmentation, tissue maps, total variation, tagged MRI, cardiac image segmentation, super-resolution reconstruction