TransAttUnet: Multi-Level Attention-Guided U-Net With Transformer for Medical Image Segmentation-Reference-Cited by-同舟云学术

TransAttUnet: Multi-Level Attention-Guided U-Net With Transformer for Medical Image Segmentation

Published:2024-02 Issue:1 Volume:8 Page:55-68
ISSN:2471-285X
Container-title:IEEE Transactions on Emerging Topics in Computational Intelligence
language:
Short-container-title:IEEE Trans. Emerg. Top. Comput. Intell.

Author:

Chen Bingzhi¹^ORCID,Liu Yishu²^ORCID,Zhang Zheng²^ORCID,Lu Guangming²^ORCID,Kong Adams Wai Kin³^ORCID

Affiliation:

1. School of Software, South China Normal University, Foshan, Guangdong, China

2. Shenzhen Medical Biometrics Perception and Analysis Engineering Laboratory, Harbin Institute of Technology, Shenzhen, China

3. School of Computer Science and Engineering, Nanyang Technological University, Singapore

Funder

National Natural Science Foundation of China

Basic and Applied Basic Research Foundation of Guangdong Province

Shenzhen Science and Technology Program

Shenzhen Key Technical Project

Shenzhen Fundamental Research and Discipline Layout project

Guangdong Provincial Key Laboratory of Novel Security Intelligence Technologies

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Computational Mathematics,Control and Optimization,Computer Science Applications

Link

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