DHT-Net: Dynamic Hierarchical Transformer Network for Liver and Tumor Segmentation-Reference-Cited by-同舟云学术

DHT-Net: Dynamic Hierarchical Transformer Network for Liver and Tumor Segmentation

Author:

Li Ruiyang¹^ORCID,Xu Longchang¹^ORCID,Xie Kun¹^ORCID,Song Jianfeng¹^ORCID,Ma Xiaowen²,Chang Liang³^ORCID,Yan Qingsen⁴^ORCID

Affiliation:

1. School of Computer Science and Technology, Xidian University, Xi'an, China

2. College of Electric Information and Automation, Civil Aviation University of China, Tianjin, China

3. School of Computer Science and Information Security, Guilin University of Electronic Technology, Guilin, China

4. School of Computer Science, Northwestern Polytechnical University, Xi'an, China

Funder

National Natural Science Foundation of China

Fundamental Research Funds for the Central Universities

Guangxi Key Laboratory of Trusted Software

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Health Information Management,Electrical and Electronic Engineering,Computer Science Applications,Health Informatics

Link

Reference43 articles.

1. U-Net: Convolutional networks for biomedical image segmentation;ronneberger;Proc Int Conf Med Image Comput Comput - Assist Interv,0

4. CondConv: Conditionally parameterized convolutions for efficient inference;yang;Proc Adv Neural Inf Process Syst,0

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