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

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.

Sommario

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.

Riassunto

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.

Dettagli sul prodotto

• Con la collaborazione di: Shuo Li (Editore), Tommaso Mansi (Editore), Kristin McLeod (Editore), Mihaela Pop (Editore), Kawal Rhode (Editore), Maxim Sermesant (Editore), Maxime Sermesant (Editore), Alistair Young (Editore), Jichao Zhao (Editore), Jichao Zhao et al (Editore)
• Editore: Springer, Berlin
• Lingue: Inglese
• Formato: Tascabile
• Pubblicazione: 01.01.2019
• EAN: 9783030120283
• ISBN: 978-3-0-3012028-3
• Pagine: 487
• Dimensioni: 155 mm x 28 mm x 234 mm
• Peso: 742 g
• Illustrazioni: XIV, 487 p. 216 illus., 192 illus. in color.
• Serie: Lecture Notes in Computer Science; Image Processing, Computer Vision, Pattern Recognition, and Graphics; Lecture Notes in Computer Science; Image Processing, Computer Vision, Pattern Recognition, and Graphics
• Categorie: Scienze naturali, medicina, informatica, tecnica > Informatica, EDP > Software applicativo; C, Künstliche Intelligenz, Data Mining, Artificial Intelligence, Netzwerk-Hardware, Wissensbasierte Systeme, Expertensysteme, computer science, Computer Vision, Image Processing and Computer Vision, Computer Communication Networks, Data Mining and Knowledge Discovery, Optical data processing, Expert systems / knowledge-based systems, Computer communication systems, Network hardware, svm, image reconstruction, wireless networks, image quality, automatic segmentations, medical images, segmentation methods, cross validation