A Medical Image Fusion Method Based on Unique Features Guidance and Deep Convolutional Networks
Author:
Affiliation:
1. Chengdu University of Technology,College of Computer Science and Cyber Security,Chengdu,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10210847/10211258/10211620.pdf?arnumber=10211620
Reference25 articles.
1. Group-Sparse Representation With Dictionary Learning for Medical Image Denoising and Fusion
2. Multimodal medical image fusion with convolution sparse representation and mutual information correlation in NSST domain
3. Pulse-coupled neural nets: translation, rotation, scale, distortion, and intensity signal invariance for images
4. Multi-focus image fusion with a deep convolutional neural network
5. A multimodal fusion method for Alzheimer’s disease based on DCT convolutional sparse representation
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