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Efficient contour-based annotation by iterative deep learning for organ segmentation from volumetric medical images.

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第一作者： Mingrui,Zhuang

第一单位： School of Biomedical Engineering, Faculty of Electronic Information and Electrical Engineering, Dalian University of Technology, Dalian, China.

作者： Mingrui,Zhuang ^[1] ; Zhonghua,Chen ^[2] ; Hongkai,Wang ^[3] ; Hong,Tang ^[1] ; Jiang,He ^[1] ; Bobo,Qin ^[1] ; Yuxin,Yang ^[1] ; Xiaoxian,Jin ^[1] ; Mengzhu,Yu ^[1] ; Baitao,Jin ^[1] ; Taijing,Li ^[1] ; Lauri,Kettunen ^[4]

作者单位： School of Biomedical Engineering, Faculty of Electronic Information and Electrical Engineering, Dalian University of Technology, Dalian, China. ^[1] School of Biomedical Engineering, Faculty of Electronic Information and Electrical Engineering, Dalian University of Technology, Dalian, China.;Faculty of Information Technology, University of Jyväskylä, Jyväskylä, Finland. ^[2] School of Biomedical Engineering, Faculty of Electronic Information and Electrical Engineering, Dalian University of Technology, Dalian, China. wang.hongkai@dlut.edu.cn.;Liaoning Key Laboratory of Integrated Circuit and Biomedical Electronic System, Dalian, China. wang.hongkai@dlut.edu.cn. ^[3] Faculty of Information Technology, University of Jyväskylä, Jyväskylä, Finland. ^[4]

关键词 Deep learning Interactive segmentation Medical image annotation Organ segmentation

医学主题词人类(Humans);体层摄影术, X线计算机(Tomography, X-Ray Computed);算法(Algorithms);图像处理, 计算机辅助(Image Processing, Computer-Assisted)

DOI 10.1007/s11548-022-02730-z

PMID 36048319

发布时间 2024-09-11

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