Overview
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 12009)
Part of the book sub series: Image Processing, Computer Vision, Pattern Recognition, and Graphics (LNIP)
Included in the following conference series:
Conference proceedings info: STACOM 2019.
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About this book
This book constitutes the thoroughly refereed post-workshop proceedings of the 10th International Workshop on Statistical Atlases and Computational Models of the Heart: Atrial Segmentation and LV Quantification Challenges, STACOM 2019, held in conjunction with MICCAI 2019, in Shenzhen, China, in October 2019.
The 42 revised full workshop papers were carefully reviewed and selected from 76 submissions. The topics of the workshop included: cardiac imaging and image processing, machine learning applied to cardiac imaging and image analysis, atlas construction, statistical modelling of cardiac function across different patient populations, cardiac computational physiology, model customization, atlas based functional analysis, ontological schemata for data and results, integrated functional and structural analyses, as well as the pre-clinical and clinical applicability of these methods.
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Keywords
- artificial intelligence
- automatic segmentations
- CFD
- color image processing
- computer vision
- CRT
- deep learning
- image analysis
- image processing
- image quality
- image reconstruction
- image segmentation
- left ventricle quantification
- machine learning
- medical images
- multi-modality cardiac imaging
- neural networks
- object recognition
- pattern recognition
- segmentation methods
Table of contents (42 papers)
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Multi-Sequence Cardiac MR Segmentation Challenge
Other volumes
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Statistical Atlases and Computational Models of the Heart. Multi-Sequence CMR Segmentation, CRT-EPiggy and LV Full Quantification Challenges
Editors and Affiliations
Bibliographic Information
Book Title: Statistical Atlases and Computational Models of the Heart. Multi-Sequence CMR Segmentation, CRT-EPiggy and LV Full Quantification Challenges
Book Subtitle: 10th International Workshop, STACOM 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13, 2019, Revised Selected Papers
Editors: Mihaela Pop, Maxime Sermesant, Oscar Camara, Xiahai Zhuang, Shuo Li, Alistair Young, Tommaso Mansi, … Avan Suinesiaputra
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-030-39074-7
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer Nature Switzerland AG 2020
Softcover ISBN: 978-3-030-39073-0Published: 23 January 2020
eBook ISBN: 978-3-030-39074-7Published: 22 January 2020
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XV, 417
Number of Illustrations: 32 b/w illustrations, 168 illustrations in colour
Topics: Image Processing and Computer Vision, Artificial Intelligence, Pattern Recognition, Computer Applications