ESA-Net:An Efficient and Lightweight Model for Medical Image SegmentationOA
ESA-Net:An Efficient and Lightweight Model for Medical Image Segmentation
Haiquan Liu;Mingcan Cen;Chong Zhang;Angela An;Shuxiang Song
Guangxi Key Laboratory of Brain-inspired Computing and Intelligent Chips,School of Electronic and Information Engineering,Guangxi Normal University,Guilin 541004,China||Key Laboratory of Integrated Circuits and Microsystems(Guangxi Normal University),Education Department of Guangxi Zhuang Autonomous Region,Guilin 541004,ChinaGuangxi Key Laboratory of Brain-inspired Computing and Intelligent Chips,School of Electronic and Information Engineering,Guangxi Normal University,Guilin 541004,China||Key Laboratory of Integrated Circuits and Microsystems(Guangxi Normal University),Education Department of Guangxi Zhuang Autonomous Region,Guilin 541004,ChinaSchool of Information Technology,Deakin University,Burwood VIC 3125,AustraliaSchool of Information Technology,Deakin University,Burwood VIC 3125,AustraliaGuangxi Key Laboratory of Brain-inspired Computing and Intelligent Chips,School of Electronic and Information Engineering,Guangxi Normal University,Guilin 541004,China||Key Laboratory of Integrated Circuits and Microsystems(Guangxi Normal University),Education Department of Guangxi Zhuang Autonomous Region,Guilin 541004,China
transformermedical image segmentationshare attentionlightweight
transformermedical image segmentationshare attentionlightweight
《大数据挖掘与分析（英文版）》 2026 (1)
248-262,15
This work was supported by the National Natural Science Foundation of China(No.62366006).
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