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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 (Paperback, 1st ed. 2020) Loot Price: R1,760
Discovery Miles 17 600
Repayment Terms: R165 pm x 12*
Statistical Atlases and Computational Models of the Heart. Multi-Sequence CMR Segmentation, CRT-EPiggy and LV Full...

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 (Paperback, 1st ed. 2020)

Mihaela Pop, Maxime Sermesant, Oscar Camara, Xiahai Zhuang, Shuo Li, Alistair Young, Tommaso Mansi, Avan Suinesiaputra

Series: Lecture Notes in Computer Science, 12009

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Loot Price R1,760 Discovery Miles 17 600 | Repayment Terms: R165 pm x 12*

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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.

General

Imprint: Springer Nature Switzerland AG
Country of origin: Switzerland
Series: Lecture Notes in Computer Science, 12009
Release date: 2020
First published: 2020
Editors: Mihaela Pop • Maxime Sermesant • Oscar Camara • Xiahai Zhuang • Shuo Li • Alistair Young • Tommaso Mansi • Avan Suinesiaputra
Dimensions: 235 x 155mm (L x W)
Format: Paperback
Pages: 417
Edition: 1st ed. 2020
ISBN-13: 978-3-03-039073-0
Categories: Books > Computing & IT > Applications of computing > Pattern recognition
Books > Computing & IT > Applications of computing > Image processing > General
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LSN: 3-03-039073-X
Barcode: 9783030390730

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