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Completed attention convolutional neural network for MRI image segmentation

ZHANG Zhong LV Shijie LIU Shuang XIAO Baihua

高技术通讯（英文版）2022，Vol.28Issue(3)：247-251,5.

高技术通讯（英文版）2022，Vol.28Issue(3)：247-251,5.DOI:10.3772/j.issn.1006-6748.2022.03.003

Completed attention convolutional neural network for MRI image segmentation

ZHANG Zhong ¹LV Shijie ¹LIU Shuang ¹XIAO Baihua²

作者信息

1. Tianjin Key Laboratory of Wireless Mobile Communications and Power Transmission,Tianjin Normal University,Tianjin 300387,P.R.China
2. State Key Laboratory for Management and Control of Complex Systems,Institute of Automation,Chinese Academy of Sciences,Beijing 100190,P.R.China
折叠

摘要

关键词

magnetic resonance imaging ( MRI) image segmentation/completed attention con-volutional neural network ( CACNN)

Key words

magnetic resonance imaging ( MRI) image segmentation/completed attention con-volutional neural network ( CACNN)

引用本文复制引用

ZHANG Zhong,LV Shijie,LIU Shuang,XIAO Baihua..Completed attention convolutional neural network for MRI image segmentation[J].高技术通讯（英文版）,2022,28(3):247-251,5.

基金项目

Supported by the National Natural Science Foundation of China(No.62171321),Tianjin Municipal Natural Science Foundation(No.20JCZDJC00180,19JCZDJC31500)and the Open Projects Program of National Laboratory of Pattern Recognition(No.202000002). （No.62171321）

高技术通讯（英文版）

ISSN：1006-6748

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