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Hi-End-MAE: Hierarchical encoder-driven masked autoencoders are stronger vision learners for medical image segmentation.

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第一作者： Fenghe,Tang

第一单位： School of Biomedical Engineering, Division of Life Sciences and Medicine, University of Science and Technology of China (USTC), Hefei, Anhui, 230026, PR China; Center for Medical Imaging, Robotics, and Analytic Computing & LEarning (MIRACLE), Suzhou Institute for Advanced Research, USTC, Suzhou 215123, China; Jiangsu Provincial Key Laboratory of Multimodal Digital Twin Technology, Suzhou Jiangsu, 215123, China.

作者： Fenghe,Tang ^[1] ; Qingsong,Yao ^[2] ; Wenxin,Ma ^[1] ; Chenxu,Wu ^[1] ; Zihang,Jiang ^[3] ; S Kevin,Zhou ^[4]

作者单位： School of Biomedical Engineering, Division of Life Sciences and Medicine, University of Science and Technology of China (USTC), Hefei, Anhui, 230026, PR China; Center for Medical Imaging, Robotics, and Analytic Computing & LEarning (MIRACLE), Suzhou Institute for Advanced Research, USTC, Suzhou 215123, China; Jiangsu Provincial Key Laboratory of Multimodal Digital Twin Technology, Suzhou Jiangsu, 215123, China. ^[1] Stanford University, Palo Alto, CA, 94305, United States. ^[2] School of Biomedical Engineering, Division of Life Sciences and Medicine, University of Science and Technology of China (USTC), Hefei, Anhui, 230026, PR China; Center for Medical Imaging, Robotics, and Analytic Computing & LEarning (MIRACLE), Suzhou Institute for Advanced Research, USTC, Suzhou 215123, China; Jiangsu Provincial Key Laboratory of Multimodal Digital Twin Technology, Suzhou Jiangsu, 215123, China; State Key Laboratory of Precision and Intelligent Chemistry, USTC, Hefei Anhui 230026, China. Electronic address: jzh0103@ustc.edu.cn. ^[3] School of Biomedical Engineering, Division of Life Sciences and Medicine, University of Science and Technology of China (USTC), Hefei, Anhui, 230026, PR China; Center for Medical Imaging, Robotics, and Analytic Computing & LEarning (MIRACLE), Suzhou Institute for Advanced Research, USTC, Suzhou 215123, China; Jiangsu Provincial Key Laboratory of Multimodal Digital Twin Technology, Suzhou Jiangsu, 215123, China; State Key Laboratory of Precision and Intelligent Chemistry, USTC, Hefei Anhui 230026, China. Electronic address: skevinzhou@ustc.edu.cn. ^[4]

关键词 Encoder-driven dense decoding Masked image modeling Medical image pre-training Medical image segmentation

主题词人类(Humans);图像处理, 计算机辅助(Image Processing, Computer-Assisted);算法(Algorithms)

DOI 10.1016/j.media.2025.103770

PMID 40986945

发布时间 2025-10-13

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准确一般字义偏差语意偏离译文作用小提交