Statistical Atlases and Computational Models of the Heart. Atrial Segmentation and LV Quantification Challenges 9th International Workshop, STACOM 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16, 2018, Revised Selected Papers
tarafından
 
Pop, Mihaela. editor.

Başlık
Statistical Atlases and Computational Models of the Heart. Atrial Segmentation and LV Quantification Challenges 9th International Workshop, STACOM 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16, 2018, Revised Selected Papers

Yazar
Pop, Mihaela. editor.

ISBN
9783030120290

Edisyon
1st ed. 2019.

Fiziksel Niteleme
XIV, 487 p. 216 illus., 192 illus. in color. online resource.

Seri
Image Processing, Computer Vision, Pattern Recognition, and Graphics ; 11395

İçindekiler
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 -- Pre-clinical and clinical applicability of these methods.

Özet
This book constitutes the thoroughly refereed post-workshop proceedings of the 9th International Workshop on Statistical Atlases and Computational Models of the Heart: Atrial Segmentation and LV Quantification Challenges, STACOM 2018, held in conjunction with MICCAI 2018, in Granada, Spain, in September 2018. The 52 revised full workshop papers were carefully reviewed and selected from 60 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.

Konu Başlığı
Optical data processing.
 
Artificial intelligence.
 
Computer communication systems.
 
Data mining.
 
Image Processing and Computer Vision. https://scigraph.springernature.com/ontologies/product-market-codes/I22021
 
Artificial Intelligence. https://scigraph.springernature.com/ontologies/product-market-codes/I21000
 
Computer Communication Networks. https://scigraph.springernature.com/ontologies/product-market-codes/I13022
 
Data Mining and Knowledge Discovery. https://scigraph.springernature.com/ontologies/product-market-codes/I18030

Yazar Ek Girişi
Pop, Mihaela.
 
Sermesant, Maxime.
 
Zhao, Jichao.
 
Li, Shuo.
 
McLeod, Kristin.
 
Young, Alistair.
 
Rhode, Kawal.
 
Mansi, Tommaso.

Ek Kurum Yazar
SpringerLink (Online service)

Elektronik Erişim
https://doi.org/10.1007/978-3-030-12029-0


Materyal TürüBarkodYer NumarasıDurumu/İade Tarihi
Electronic Book428998-1001TA1630 -1650Springer E-Book Collection