Deep learning model for the automated detection and classification of central canal and neural foraminal stenosis upon cervical spine magnetic resonance imaging.

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作者： Enlong,Zhang ^[1] ; Meiyi,Yao ^[2] ; Yuan,Li ^[1] ; Qizheng,Wang ^[1] ; Xinhang,Song ^[2] ; Yongye,Chen ^[1] ; Ke,Liu ^[1] ; Weili,Zhao ^[1] ; Xiaoying,Xing ^[1] ; Yan,Zhou ^[1] ; Fanyu,Meng ^[2] ; Hanqiang,Ouyang ^[3] ; Gongwei,Chen ^[2] ; Liang,Jiang ^[3] ; Ning,Lang ^[4] ; Shuqiang,Jiang ^[5] ; Huishu,Yuan ^[6]

作者单位： Department of Radiology, Peking University Third Hospital, 49 North Garden Road, Haidian District, Beijing, 100191, PR China. ^[1] Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China. ^[2] Department of Orthopaedics, Engineering Research Center of Bone and Joint Precision Medicine, Beijing Key Laboratory of Spinal Disease Research, Peking University Third Hospital, 49 North Garden Road, Haidian District, Beijing, 100191, China. ^[3] Department of Radiology, Peking University Third Hospital, 49 North Garden Road, Haidian District, Beijing, 100191, PR China. langning800129@126.com. ^[4] Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China. sqjiang@ict.ac.cn. ^[5] Department of Radiology, Peking University Third Hospital, 49 North Garden Road, Haidian District, Beijing, 100191, PR China. huishuy@sina.com. ^[6]

关键词 Cervical spinal stenosis Convolutional neural network Deep learning MRI