Collaborative Attention Guided Multi-Scale Feature Fusion Network for Medical Image Segmentation-Reference-Cited by-同舟云学术

Collaborative Attention Guided Multi-Scale Feature Fusion Network for Medical Image Segmentation

Published:2023 Issue: Volume: Page:1-15
ISSN:2327-4697
Container-title:IEEE Transactions on Network Science and Engineering
language:
Short-container-title:IEEE Trans. Netw. Sci. Eng.

Author:

Xu Zhenghua¹^ORCID,Tian Biao¹,Liu Shijie¹,Wang Xiangtao¹,Yuan Di¹,Gu Junhua²,Chen Junyang³^ORCID,Lukasiewicz Thomas⁴^ORCID,Leung Victor C. M.⁵^ORCID

Affiliation:

1. State Key Laboratory of Reliability and Intelligence of Electrical Equipment, School of Health Sciences and Biomedical Engineering, Hebei University of Technology, Tianjin, China

2. State Key Laboratory of Reliability and Intelligence of Electrical Equipment and the School of Artificial Intelligence, Hebei University of Technology, Tianjin, China

3. College of Computer Science and Software Engineering and the Guangdong Laboratory of Artificial Intelligence and Digital Economy (SZ), Shenzhen University, Shenzhen, China

4. Institute of Logic and Computation, Vienna University of Technology, Vienna, Austria

5. College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, China

Funder

National Natural Science Foundation of China

Natural Science Foundation of Hebei Province, China

Shenzhen Talents Special Project - Guangdong Provincial Innovation and Entrepreneurship Team Supporting Project

Open Research Fund from Guangdong Laboratory of Artificial Intelligence and Digital Economy

Natural Science Foundation of Guangdong Province, China

Key Research and Development Project of Hainan Province, China

China Scholarship Council

AXA Research Fund

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Networks and Communications,Computer Science Applications,Control and Systems Engineering

Link

http://xplorestaging.ieee.org/ielx7/6488902/6930788/10316669.pdf?arnumber=10316669

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