A Meta-Learning Approach for Medical Image Registration

Author:

Park Heejung1,Lee Gyeong Min1,Kim Soopil1,Ryu Ga Hyung2,Jeong Areum2,Sagong Min2,Park Sang Hyun1

Affiliation:

1. DGIST,Department of Robotics Engineering,Daegu,South Korea

2. Yeungnam University College of Medicine,Department of Ophthalmology,Daegu,South Korea

Publisher

IEEE

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

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. A systematic review of few-shot learning in medical imaging;Artificial Intelligence in Medicine;2024-10

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

3. Optimization Approaches in Meta-Learning Models;Meta-Learning Frameworks for Imaging Applications;2023-09-28

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