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

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
Buch | Softcover
XV, 417 Seiten
2020 | 1st ed. 2020
Springer International Publishing (Verlag)
978-3-030-39073-0 (ISBN)
79,17 inkl. MwSt

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.

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

Erscheinungsdatum
Reihe/Serie Image Processing, Computer Vision, Pattern Recognition, and Graphics
Lecture Notes in Computer Science
Zusatzinfo XV, 417 p. 200 illus., 168 illus. in color.
Verlagsort Cham
Sprache englisch
Maße 155 x 235 mm
Gewicht 664 g
Themenwelt Informatik Grafik / Design Digitale Bildverarbeitung
Informatik Theorie / Studium Künstliche Intelligenz / Robotik
Schlagworte Applications • Artificial Intelligence • automatic segmentations • CFD • color image processing • Computer Science • computer vision • conference proceedings • CRT • Deep learning • Image Analysis • Image Processing • Image Quality • image reconstruction • Image Segmentation • Informatics • left ventricle quantification • machine learning • Medical Images • multi-modality cardiac imaging • Neural networks • Object recognition • pattern recognition • Research • segmentation methods
ISBN-10 3-030-39073-X / 303039073X
ISBN-13 978-3-030-39073-0 / 9783030390730
Zustand Neuware
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