MFGAN: A medical image fusion generative adversarial network Using attention mechanism-Reference-Cited by-同舟云学术

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MFGAN: A medical image fusion generative adversarial network Using attention mechanism

Published:2022-11-04 Issue: Volume: Page:
ISSN:
Container-title:2022 16th ICME International Conference on Complex Medical Engineering (CME)
language:
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Author:

Meng Jin¹,Hu Shimin¹,Wang Shifeng²,Lu Bo³

Affiliation:

1. Changchun University of Science and Technology,School of Optoelectronic Engineering,Changchun,China

2. Changchun University of Science and Technology,School of Optoelectronic Engineering

3. University of Science and Technology,Zhongshan Institute of Changchun,Zhongshan,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10063249/10063250/10063280.pdf?arnumber=10063280

Reference17 articles.

1. MATR: Multimodal Medical Image Fusion via Multiscale Adaptive Transformer

2. Image Fusion With Convolutional Sparse Representation;yu;IEEE Signal Processing Letters,2016

3. Infrared and Visible Image Fusion using a Deep Learning Framework

4. A Phase Congruency and Local Laplacian Energy Based Multi-Modality Medical Image Fusion Method in NSCT Domain

5. Image fusion based on pixel significance using cross bilateral filter;kumar;Signal Image and Video Processing,2015

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