Toward Right Ventricle Segmentation in Cardiac MRIs via Feature Multiplexing and Multiscale Weighted Convolution-Reference-Cited by-同舟云学术

Toward Right Ventricle Segmentation in Cardiac MRIs via Feature Multiplexing and Multiscale Weighted Convolution

Author:

Liu Jinping¹^ORCID,Li Mengke¹^ORCID,Gong Subo²,Mohammadzadeh Ardashir³^ORCID,Yang Guanyi⁴

Affiliation:

1. College of Information Science and Engineering, Hunan Normal University, Changsha, Hunan, China

2. Department of Geriatrics, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China

3. Multidisciplinary Center for Infrastructure Engineering, Shenyang University of Technology, Shenyang, Liaoning, China

4. Information Center of Hunan Institute of Metrology and Test, Changsha, Hunan, China

Funder

Major Program/Open Project of Xiangjiang Laboratory

National Natural Science Foundation of China

Science and Technology Program of the State Administration for Market Regulation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

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

Link

Reference37 articles.

1. U-Net: Convolutional networks for biomedical image segmentation;ronneberger;Proc 18th Int Conf Med Image Comput Comput -Assisted Intervention,0

4. TransUNet: Transformers make strong encoders for medical image segmentation;chen,2021

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