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GMIM: Self-supervised pre-training for 3D medical image segmentation with adaptive and hierarchical masked image modeling.

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第一作者： Liangce,Qi

第一单位： Department of Computer Science and Technology, Changchun University of Science and Technology, Changchun, 130022, Jilin, China. Electronic address: 1263591209@qq.com.

作者： Liangce,Qi ^[1] ; Zhengang,Jiang ^[2] ; Weili,Shi ^[3] ; Feng,Qu ^[4] ; Guanyuan,Feng ^[4]

作者单位： Department of Computer Science and Technology, Changchun University of Science and Technology, Changchun, 130022, Jilin, China. Electronic address: 1263591209@qq.com. ^[1] Department of Computer Science and Technology, Changchun University of Science and Technology, Changchun, 130022, Jilin, China; Zhongshan Institute of Changchun University of Science and Technology, Zhongshan, 528400, Guangzhou, China. Electronic address: jiangzhengang@cust.edu.cn. ^[2] Department of Computer Science and Technology, Changchun University of Science and Technology, Changchun, 130022, Jilin, China; Zhongshan Institute of Changchun University of Science and Technology, Zhongshan, 528400, Guangzhou, China. ^[3] Department of Computer Science and Technology, Changchun University of Science and Technology, Changchun, 130022, Jilin, China. ^[4]

关键词 Brain tumor segmentation Masked image modeling Self-supervised learning

主题词人类(Humans);成像, 三维(Imaging, Three-Dimensional);算法(Algorithms)

DOI 10.1016/j.compbiomed.2024.108547

PMID 38728994

发布时间 2024-12-20

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