Myocardial Pathology Segmentation Combining Multi-Sequence Cardiac Magnetic Resonance Images
Produktnummer:
18b2d68b86c20c4145a551c5c30761d986
| Themengebiete: | artificial intelligence automatic segmentations cardiac image modeling cardiac image registration cardiac image segmentation computer vision deep learning image analysis image processing image segmentation |
|---|---|
| Veröffentlichungsdatum: | 19.12.2020 |
| EAN: | 9783030656508 |
| Sprache: | Englisch |
| Seitenzahl: | 177 |
| Produktart: | Kartoniert / Broschiert |
| Herausgeber: | Li, Lei Zhuang, Xiahai |
| Verlag: | Springer International Publishing |
| Untertitel: | First Challenge, MyoPS 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 4, 2020, Proceedings |
Produktinformationen "Myocardial Pathology Segmentation Combining Multi-Sequence Cardiac Magnetic Resonance Images"
This book constitutes the First Myocardial Pathology Segmentation Combining Multi-Sequence CMR Challenge, MyoPS 2020, which was held in conjunction with the 23rd International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2020, in Lima, Peru, in October 2020. The challenge took place virtually due to the COVID-19 crisis.The 12 full and 4 short papers presented in this volume were carefully reviewed and selected form numerous submissions. This challenge aims not only to benchmark various myocardial pathology segmentation algorithms, but also to cover the topic of general cardiac image segmentation, registration and modeling, and raise discussions for further technical development and clinical deployment.
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