An effective and open source interactive 3D medical image segmentation solution.

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作者： Yi,Gao ^[1] ; Xiaohui,Chen ^[2] ; Qinzhu,Yang ^[2] ; Andras,Lasso ^[3] ; Ivan,Kolesov ^[4] ; Steve,Pieper ^[5] ; Ron,Kikinis ^[6] ; Allen,Tannenbaum ^[4] ; Liangjia,Zhu ^[7]

作者单位： School of Biomedical Engineering, Shenzhen University Medical School, Shenzhen University, Shenzhen, 518060, China. gaoyi@szu.edu.cn.;Shenzhen Key Laboratory of Precision Medicine for Hematological Malignancies, Shenzhen, 518060, China. gaoyi@szu.edu.cn.;Marshall Laboratory of Biomedical Engineering, Shenzhen, 518060, China. gaoyi@szu.edu.cn.;Guangdong Provincial Key Laboratory of Mathematical and Neural Dynamical Systems, 523000, Dongguan , China. gaoyi@szu.edu.cn. ^[1] School of Biomedical Engineering, Shenzhen University Medical School, Shenzhen University, Shenzhen, 518060, China. ^[2] Laboratory for Percutaneous Surgery, School of Computing, Queen's University, Kingston, Canada. ^[3] Departments of Computer Science/Applied Mathematics and Statistics, Stony Brook University, Stony Brook, NY, USA. ^[4] Isomics, Inc, Cambridge, MA, USA. ^[5] Department of Radiology, Brigham and Women's Hospital, and Harvard Medical School, Boston, Massachusetts, USA. ^[6] School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA, 30303, USA. liangjia.zhu@outlook.com. ^[7]

关键词 Software, Computer Vision, Image Processing, Computer-Assisted

主题词成像, 三维(Imaging, Three-Dimensional);算法(Algorithms);人类(Humans);软件(Software);图像处理, 计算机辅助(Image Processing, Computer-Assisted);用户计算机接口(User-Computer Interface)

DOI 10.1038/s41598-024-80206-7

PMID 39622975

发布时间 2024-12-02

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