Myocardial Pathology Segmentation Combining Multi-Sequence Cardiac Magnetic Resonance Images
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Myocardial Pathology Segmentation Combining Multi-Sequence Cardiac Magnetic Resonance Images

Myocardial Pathology Segmentation Combining Multi-Sequence Cardiac Magnetic Resonance Images


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About the Book

Stacked BCDU-net with semantic CMR synthesis: application to Myocardial PathologySegmentation challenge.- EfficientSeg: A Simple but Efficient Solution to Myocardial Pathology Segmentation Challenge.- Two-stage Method for Segmentation of the Myocardial Scars and Edema on Multi-sequence Cardiac Magnetic Resonance.- Multi-Modality Pathology Segmentation Framework: Application to Cardiac Magnetic Resonance Images.- Myocardial Edema and Scar Segmentation using a Coarse-to-Fine Framework with Weighted Ensemble.- Exploring ensemble applications for multi-sequence myocardial pathology segmentation.- Max-Fusion U-Net for Multi-Modal Pathology Segmentation with Attention and Dynamic Resampling.- Fully automated deep learning based segmentation of normal, infarcted and edema regions from multiple cardiac MRI sequences.- CMS-UNet: Cardiac Multi-task Segmentation in MRI with a U-shaped Network.- Automatic Myocardial Scar Segmentation from Multi-Sequence Cardiac MRI using Fully Convolutional Densenet with Inception and Squeeze-Excitation Module.- Dual Attention U-net for Multi-Sequence Cardiac MR Images Segmentation.- Accurate Myocardial Pathology Segmentation with Residual U-Net.- Stacked and Parallel U-Nets with Multi-Output for Myocardial Pathology Segmentation.- Dual-path Feature Aggregation Network Combined Multi-layer Fusion for Myocardial Pathology Segmentation with Multi-sequence Cardiac MR.- Cascaded Framework with Complementary CMR Information for Myocardial Pathology Segmentation.- CMRadjustNet: Recognition and standardization of cardiac MRI orientation via multi-tasking learning and deep neural networks.


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Product Details
  • ISBN-13: 9783030656508
  • Publisher: Springer International Publishing
  • Publisher Imprint: Springer
  • Height: 234 mm
  • No of Pages: 177
  • Spine Width: 10 mm
  • Weight: 322 gr
  • ISBN-10: 3030656500
  • Publisher Date: 19 Dec 2020
  • Binding: Paperback
  • Language: English
  • Returnable: Y
  • Sub Title: First Challenge, Myops 2020, Held in Conjunction with Miccai 2020, Lima, Peru, October 4, 2020, Proceedings
  • Width: 156 mm


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Myocardial Pathology Segmentation Combining Multi-Sequence Cardiac Magnetic Resonance Images
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Myocardial Pathology Segmentation Combining Multi-Sequence Cardiac Magnetic Resonance Images
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