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NON-RIGID IMAGE REGISTRATION USING SELF-SUPERVISED FULLY CONVOLUTIONAL NETWORKS WITHOUT TRAINING DATA
A novel non-rigid image registration algorithm is built upon fully convolutional networks (FCNs) to optimize and learn spatial transformations between pairs of images to be registered in a self-supervised learning framework. Different from most existing deep learning based image registration methods...
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| Published in: | Proc IEEE Int Symp Biomed Imaging |
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| Main Authors: | , |
| Format: | Artigo |
| Language: | Inglês |
| Published: |
2018
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| Subjects: | |
| Online Access: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6070305/ https://ncbi.nlm.nih.gov/pubmed/30079127 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/ISBI.2018.8363757 |
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