Myocardial Pathology Segmentation Combining Multi-Sequence Cardiac Magnetic Resonance Images
First Challenge, MyoPS 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 4, 2020, Proceedings
Editors: Zhuang, Xiahai, Li, Lei (Eds.)
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- About this book
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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.
- Table of contents (16 chapters)
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Stacked BCDU-Net with Semantic CMR Synthesis: Application to Myocardial Pathology Segmentation Challenge
Pages 1-16
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EfficientSeg: A Simple But Efficient Solution to Myocardial Pathology Segmentation Challenge
Pages 17-25
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Two-Stage Method for Segmentation of the Myocardial Scars and Edema on Multi-sequence Cardiac Magnetic Resonance
Pages 26-36
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Multi-modality Pathology Segmentation Framework: Application to Cardiac Magnetic Resonance Images
Pages 37-48
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Myocardial Edema and Scar Segmentation Using a Coarse-to-Fine Framework with Weighted Ensemble
Pages 49-59
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Table of contents (16 chapters)
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Bibliographic Information
- Bibliographic Information
-
- Book Title
- Myocardial Pathology Segmentation Combining Multi-Sequence Cardiac Magnetic Resonance Images
- Book Subtitle
- First Challenge, MyoPS 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 4, 2020, Proceedings
- Editors
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- Xiahai Zhuang
- Lei Li
- Series Title
- Image Processing, Computer Vision, Pattern Recognition, and Graphics
- Series Volume
- 12554
- Copyright
- 2020
- Publisher
- Springer International Publishing
- Copyright Holder
- Springer Nature Switzerland AG
- eBook ISBN
- 978-3-030-65651-5
- DOI
- 10.1007/978-3-030-65651-5
- Softcover ISBN
- 978-3-030-65650-8
- Edition Number
- 1
- Number of Pages
- VIII, 177
- Number of Illustrations
- 14 b/w illustrations, 79 illustrations in colour
- Topics
