Style Consistency Unsupervised Domain Adaptation Medical Image Segmentation
Author:
Affiliation:
1. School of Electronic and Information Engineering, Soochow University, Suzhou, Jiangsu, China
2. Department of Radiology, Changhai Hospital, Navy Military Medical University, Shanghai, China
Funder
National Natural Science Foundation of China
National Key Research and Development Program of China
Natural Science Foundation of Shanghai Science and Technology Innovation Action Plan
Clinical Research Plan of Shanghai Hospital Development Center
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Link
http://xplorestaging.ieee.org/ielx8/83/10346232/10667000.pdf?arnumber=10667000
Reference47 articles.
1. A 3D Coarse-to-Fine Framework for Volumetric Medical Image Segmentation
2. Recurrent Saliency Transformation Network: Incorporating Multi-stage Visual Cues for Small Organ Segmentation
3. A dual branch and fine-grained enhancement network for pancreatic tumor segmentation in contrast enhanced CT images
4. Transfer Learning for Domain Adaptation in MRI: Application in Brain Lesion Segmentation
5. Unsupervised Cross-Modality Domain Adaptation of ConvNets for Biomedical Image Segmentations with Adversarial Loss
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