Cross-Modality Multi-Atlas Segmentation via Deep Registration and Label Fusion
Author:
Affiliation:
1. College of Physics and Information Engineering, Fuzhou University, Fuzhou, China
2. School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China
3. School of Data Science, Fudan University, Shanghai, China
Funder
National Natural Science Foundation of China
Natural Science Foundation of Fujian Province
Fuzhou Science and Technology
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Health Information Management,Electrical and Electronic Engineering,Computer Science Applications,Health Informatics
Link
http://xplorestaging.ieee.org/ielx7/6221020/9813470/09706312.pdf?arnumber=9706312
Reference51 articles.
1. Combination Strategies in Multi-Atlas Image Segmentation: Application to Brain MR Data
2. Pair-Wise and Group-Wise Deformation Consistency in Deep Registration Network
3. VoxelMorph: A Learning Framework for Deformable Medical Image Registration
4. Quicksilver: Fast predictive image registration – A deep learning approach
5. BIRNet: Brain image registration using dual-supervised fully convolutional networks
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