MM-Net: A MixFormer-Based Multi-Scale Network for Anatomical and Functional Image Fusion-Reference-Cited by-同舟云学术

MM-Net: A MixFormer-Based Multi-Scale Network for Anatomical and Functional Image Fusion

Published:2024 Issue: Volume:33 Page:2197-2212
ISSN:1057-7149
Container-title:IEEE Transactions on Image Processing
language:
Short-container-title:IEEE Trans. on Image Process.

Author:

Liu Yu¹^ORCID,Yu Chen¹,Cheng Juan¹^ORCID,Wang Z. Jane²^ORCID,Chen Xun³^ORCID

Affiliation:

1. Department of Biomedical Engineering, The Anhui Province Key Laboratory of Measuring Theory and Precision Instrument, Hefei University of Technology, Hefei, China

2. Department of Electrical and Computer Engineering, The University of British Columbia, Vancouver, Canada

3. Department of Electronic Engineering and Information Science, University of Science and Technology of China, Hefei, China

Funder

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/83/10346232/10471275.pdf?arnumber=10471275

Reference80 articles.

1. Anatomical-Functional Image Fusion by Information of Interest in Local Laplacian Filtering Domain

2. Laplacian Redecomposition for Multimodal Medical Image Fusion

3. Perceptual Image Fusion Using Wavelets

4. Brain Medical Image Fusion Using L2-Norm-Based Features and Fuzzy-Weighted Measurements in 2-D Littlewood–Paley EWT Domain

5. A Neuro-Fuzzy Approach for Medical Image Fusion

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