UID:
almahu_9948254185802882
Format:
XV, 417 p. 200 illus., 168 illus. in color.
,
online resource.
Edition:
1st ed. 2020.
ISBN:
9783030390747
Series Statement:
Image Processing, Computer Vision, Pattern Recognition, and Graphics ; 12009
Content:
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.
Note:
Regular Papers -- Multi-Sequence CMR Segmentation Challenge -- CRT-EPiggy Challenge -- LV Full Quantification Challenge.
In:
Springer eBooks
Additional Edition:
Printed edition: ISBN 9783030390730
Additional Edition:
Printed edition: ISBN 9783030390754
Language:
English
Subjects:
Computer Science
Keywords:
Konferenzschrift
DOI:
10.1007/978-3-030-39074-7
URL:
https://doi.org/10.1007/978-3-030-39074-7
