MsgFusion: Medical Semantic Guided Two-Branch Network for Multimodal Brain Image Fusion-Reference-Cited by-同舟云学术

MsgFusion: Medical Semantic Guided Two-Branch Network for Multimodal Brain Image Fusion

Published:2024 Issue: Volume:26 Page:944-957
ISSN:1520-9210
Container-title:IEEE Transactions on Multimedia
language:
Short-container-title:IEEE Trans. Multimedia

Author:

Wen Jinyu¹^ORCID,Qin Feiwei²^ORCID,Du Jiao¹^ORCID,Fang Meie¹^ORCID,Wei Xinhua³,Chen C. L. Philip⁴^ORCID,Li Ping⁵^ORCID

Affiliation:

1. Metaverse Institute, School of Computer Science and Cyber Engineering, Guangzhou University, Guangzhou, China

2. School of Computer Science and Technology, Hangzhou Dianzi University, Hangzhou, China

3. Department of Radiology, Second Affiliated Hospital of South China University of Technology, Guangzhou, China

4. School of Computer Science and Engineering, South China University of Technology, Guangzhou, China

5. Department of Computing, the School of Design, and the Research Institute for Sports Science and Technology, The Hong Kong Polytechnic University, Kowloon, Hong Kong

Funder

National Natural Science Foundation of China

Fundamental Research Projects Jointly

Guangzhou Council and Municipal Universities

Postgraduate Innovation Project of Guangzhou University

Zhejiang Provincial Natural Science Foundation of China

Guangzhou Science and Technology Project

PolyU Research Institute for Sports Science and Technology

Hong Kong Polytechnic University

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Media Technology,Signal Processing

Link

http://xplorestaging.ieee.org/ielx7/6046/10384483/10120980.pdf?arnumber=10120980

Reference52 articles.

1. Beyond fine-tuning: Classifying high resolution mammograms using function-preserving transformations

2. An interpretable classifier for high-resolution breast cancer screening images utilizing weakly supervised localization

3. Single Image Highlight Removal with a Sparse and Low-Rank Reflection Model

4. A Global Optimization Method for Specular Highlight Removal From a Single Image

5. Boundary finding based multi-focus image fusion through multi-scale morphological focus-measure

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