Statistical Atlases and Computational Models of the Heart. Multi-Sequence CMR Segmentation, CRT-EPiggy and LV Full Quantification Challenges
Springer International Publishing (Verlag)
978-3-030-39073-0 (ISBN)
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 | 24.01.2020 |
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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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