Unsupervised Domain Adaptation for Cardiac Segmentation: Towards Structure Mutual Information Maximization
Author:
Affiliation:
1. Wenzhou-Kean University,College of Science and Technology,Wenzhou,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9856930/9856648/09857222.pdf?arnumber=9857222
Reference41 articles.
1. Challenges and Methodologies of Fully Automatic Whole Heart Segmentation: A Review
2. Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks
3. CF Distance: A New Domain Discrepancy Metric and Application to Explicit Domain Adaptation for Cross-Modality Cardiac Image Segmentation
4. Learning the Roots of Visual Domain Shift
5. Multiview 3-D Echocardiography Image Fusion with Mutual Information Neural Estimation
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3. Unsupervised deep consistency learning adaptation network for cardiac cross-modality structural segmentation;Medical & Biological Engineering & Computing;2023-07-14
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