Zuluaga Reconstruction, Segmentation, and Analysis of Medical Images

Reconstruction, Segmentation, and Analysis of Medical Images

von

First International Workshops, RAMBO 2016 and HVSMR 2016, Held in Conjunction with MICCAI 2016, Athens, Greece, October 17, 2016, Revised Selected Papers

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Beschreibung

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.


Autor*in

Maria A. Zuluaga

Themen in »Reconstruction, Segmentation, and Analysis of Medical Images«

Computer Science Informatics life and medical sciences machine learning modeling and simulation reconstruction segmentation 3D cardiac MRI applied computing automatic segmentation cardiac image segmentation computing methodologies image analysis deep learning magnetic resonance imaging

Stimmen zu »Reconstruction, Segmentation, and Analysis of Medical Images«

Details

ISBN: 9783319522791
Verlag: Springer International Publishing
Erscheinung: 19.01.2017

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