A multimodal molecular image fusion method based on relative total variation and co‐saliency detection-Reference-Cited by-同舟云学术

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A multimodal molecular image fusion method based on relative total variation and co‐saliency detection

Published:2022-10-10 Issue:2 Volume:33 Page:523-546
ISSN:0899-9457
Container-title:International Journal of Imaging Systems and Technology
language:en
Short-container-title:Int J Imaging Syst Tech

Author:

Wang Jing¹,Zhang Wenjuan²³,Zhu Rui²³

Affiliation:

1. School of Media Science Northeast Normal University Changchun China

2. Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education Jilin University Changchun China

3. College of Computer Science and Technology Jilin University Changchun China

Funder

National Key Research and Development Program of China

Fundamental Research Funds for the Central Universities

Publisher

Wiley

Subject

Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Software,Electronic, Optical and Magnetic Materials

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/ima.22815

Reference58 articles.

1. Global-Feature Encoding U-Net (GEU-Net) for Multi-Focus Image Fusion

2. Infrared and visible image fusion methods and applications: A survey

3. Pulse Coupled Neural Network-Based Multimodal Medical Image Fusion via Guided Filtering and WSEML in NSCT Domain

4. Correction to: MRI enhancement based on visual-attention by adaptive contrast adjustment and image fusion

5. CT image segmentation method of liver tumor based on artificial intelligence enabled medical imaging;Liu L;Math Probl Eng,2021

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