IDAA-NET: An Image Domain Adaptive Alignment Network for Unsupervised Liver Vessel Segmentation from CTA Images
Author:
Affiliation:
1. Beijing Institute of Technology,School of Optics and Photonics,Beijing,China
2. Chinese PLA General Hospital,Department of Interventional Radiology,Beijing,China
Funder
National Science Foundation
Beijing Nova Program
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10385250/10385251/10385431.pdf?arnumber=10385431
Reference16 articles.
1. Portal Vein and Hepatic Vein Segmentation in Multi-Phase MR Images Using Flow-Guided Change Detection
2. AFF-NET: An Adaptive Feature Fusion Network For Liver Vessel Segmentation From CT Images
3. Generative adversarial nets;Goodfellow;Advances in neural information processing systems,2014
4. Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks
5. SynSeg-Net: Synthetic Segmentation Without Target Modality Ground Truth
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