STPGANsFusion: Structure and Texture Preserving Generative Adversarial Networks for Multi-modal Medical Image Fusion-Reference-Cited by-同舟云学术

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STPGANsFusion: Structure and Texture Preserving Generative Adversarial Networks for Multi-modal Medical Image Fusion

Published:2022-05-24 Issue: Volume: Page:
ISSN:
Container-title:2022 National Conference on Communications (NCC)
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Author:

Shah Dhruvi¹,Wani Hareshwar¹,Das Manisha¹,Gupta Deep¹,Radeva Petia²,Bakde Ashwini³

Affiliation:

1. Visvesvaraya National Institute of Technology,Department of Electronics and Communication Engineering,Nagpur,India

2. Universitat de Barcelona & Computer Vision Center,Department of Mathematics and Computer Science,Barcelona,Spain

3. All India Institute of Medical Sciences,Department of Radio-Diagnosis,Nagpur,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9806463/9806464/09806733.pdf?arnumber=9806733

Reference17 articles.

1. GANs for medical image analysis

2. Image-to-image translation with conditional adversarial networks;isola;Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition,2017

3. NSST domain CT–MR neurological image fusion using optimised biologically inspired neural network

4. Objective image fusion performance measure

Cited by 1 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. UCP2-ACGAN: An adaptive condition GAN guided by U-shaped context perceptual processor for PET/CT images fusion;Biomedical Signal Processing and Control;2024-10

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