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: Lecture Notes in Computer Science, cartea 11395
Editat de Mihaela Pop, Maxime Sermesant, Jichao Zhao, Shuo Li, Kristin McLeod, Alistair Young, Kawal Rhode, Tommaso Mansien Limba Engleză Paperback – 14 feb 2019
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.
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Specificații
ISBN-13: 9783030120283
ISBN-10: 3030120287
Pagini: 482
Ilustrații: XIV, 487 p. 216 illus., 192 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.7 kg
Ediția:1st ed. 2019
Editura: Springer International Publishing
Colecția Springer
Seriile Lecture Notes in Computer Science, Image Processing, Computer Vision, Pattern Recognition, and Graphics
Locul publicării:Cham, Switzerland
ISBN-10: 3030120287
Pagini: 482
Ilustrații: XIV, 487 p. 216 illus., 192 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.7 kg
Ediția:1st ed. 2019
Editura: Springer International Publishing
Colecția Springer
Seriile Lecture Notes in Computer Science, Image Processing, Computer Vision, Pattern Recognition, and Graphics
Locul publicării:Cham, Switzerland
Cuprins
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.