Hybrid CNN-Transformer Network With Circular Feature Interaction for Acute Ischemic Stroke Lesion Segmentation on Non-Contrast CT Scans-Reference-Cited by-同舟云学术

Hybrid CNN-Transformer Network With Circular Feature Interaction for Acute Ischemic Stroke Lesion Segmentation on Non-Contrast CT Scans

Author:

Kuang Hulin¹^ORCID,Wang Yahui¹^ORCID,Liu Jin¹^ORCID,Wang Jie¹,Cao Quanliang²^ORCID,Hu Bo³,Qiu Wu⁴^ORCID,Wang Jianxin¹^ORCID

Affiliation:

1. Hunan Provincial Key Laboratory on Bioinformatics, School of Computer Science and Engineering, Central South University, Changsha, Hunan, China

2. Wuhan National High Magnetic Field Center, Huazhong University of Science and Technology, Wuhan, China

3. Department of Neurology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China

4. School of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, China

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

Science and Technology Innovation Program of Hunan Province

Hubei Provincial Key Research and Development Program

Fundamental Research Funds for the Central Universities of Central South University

High Performance Computing Center of Central South University

High Performance Computing Platformof the Huazhong University of Science and Technology

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

Reference58 articles.

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