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Statistical Atlases and Computational Models of the Heart. Multi-Sequence CMR Segmentation, CRT-EPiggy and LV Full Quantification Challenges : 10th International Workshop, STACOM 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13, 2019, Revised Selected Papers / edited by Mihaela Pop, Maxime Sermesant, Oscar Camara, Xiahai Zhuang, Shuo Li, Alistair Young, Tommaso Mansi, Avan Suinesiaputra.

SpringerLink Books Computer Science (2011-2024) Available online

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Format:
Book
Contributor:
Pop, Mihaela, Editor.
Sermesant, Maxime, Editor.
Camara, Aboubacar, Editor.
Zhuang, Xiahai, Editor.
Li, Shuo, Editor.
Young, Alistair, Editor.
Mansi, Tommaso, Editor.
Suinesiaputra, Avan, Editor.
SpringerLink (Online service)
Series:
Computer Science (SpringerNature-11645)
LNCS sublibrary. Image processing, computer vision, pattern recognition, and graphics ; SL 6, 12009
Image Processing, Computer Vision, Pattern Recognition, and Graphics ; 12009
Language:
English
Subjects (All):
Computer vision.
Artificial intelligence.
Pattern recognition systems.
Application software.
Computer Vision.
Artificial Intelligence.
Automated Pattern Recognition.
Computer and Information Systems Applications.
Local Subjects:
Computer Vision.
Artificial Intelligence.
Automated Pattern Recognition.
Computer and Information Systems Applications.
Physical Description:
1 online resource (XV, 417 pages) : 200 illustrations, 168 illustrations in color.
Edition:
1st ed. 2020.
Contained In:
Springer Nature eBook
Place of Publication:
Cham : Springer International Publishing : Imprint: Springer, 2020.
System Details:
text file PDF
Summary:
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.
Contents:
Regular Papers
Multi-Sequence CMR Segmentation Challenge
CRT-EPiggy Challenge
LV Full Quantification Challenge.
Other Format:
Printed edition:
ISBN:
978-3-030-39074-7
9783030390747
Access Restriction:
Restricted for use by site license.

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