A Meta-Learning Approach for Medical Image Registration
Author:
Affiliation:
1. DGIST,Department of Robotics Engineering,Daegu,South Korea
2. Yeungnam University College of Medicine,Department of Ophthalmology,Daegu,South Korea
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9761376/9761399/09761512.pdf?arnumber=9761512
Reference24 articles.
1. Learning to Compare: Relation Network for Few-Shot Learning
2. Bidirectional rnn-based few shot learning for 3d medical image segmentation;kim;AAAI,2020
3. Few-Shot Relation Learning with Attention for EEG-based Motor Imagery Classification
4. Model-agnostic meta-learning for fast adaptation of deep networks;finn;International Conference on Machine Learning,2017
5. On first-order meta-learning algorithms;nichol,2018
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2. An Empirical Study of Meta Learning for Medical Image Segmentation with Transfer Learning;2024 2nd International Conference on Disruptive Technologies (ICDT);2024-03-15
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