Statistical Atlases and Computational Models of the Heart. Multi-Sequence CMR Segmentation, CRT-EPiggy and LV Full Quantification Challenges

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Details

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.


Inhalt

Regular Papers.- Multi-Sequence CMR Segmentation Challenge.- CRT-EPiggy Challenge.- LV Full Quantification Challenge.

Weitere Informationen

  • Allgemeine Informationen
    • GTIN 09783030390730
    • Auflage 1st edition 2020
    • Editor Mihaela Pop, Maxime Sermesant, Oscar Camara, Avan Suinesiaputra, Shuo Li, Alistair Young, Tommaso Mansi, Xiahai Zhuang
    • Sprache Englisch
    • Genre Anwendungs-Software
    • Größe H235mm x B155mm x T24mm
    • Jahr 2020
    • EAN 9783030390730
    • Format Kartonierter Einband
    • ISBN 303039073X
    • Veröffentlichung 23.01.2020
    • Titel Statistical Atlases and Computational Models of the Heart. Multi-Sequence CMR Segmentation, CRT-EPiggy and LV Full Quantification Challenges
    • Untertitel 10th International Workshop, STACOM 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13, 2019, Revised Selected Papers
    • Gewicht 657g
    • Herausgeber Springer International Publishing
    • Anzahl Seiten 436
    • Lesemotiv Verstehen

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