Clustering of morphological fracture lines for identifying intertrochanteric fracture classification with Hausdorff distance-based K-means approach.

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第一作者： Jiantao,Li

第一单位： Department of Orthopaedics, Chinese PLA General Hospital, No. 28 Fuxing Road, Beijing, 100853, China.

作者： Jiantao,Li ^[1] ; Shaojie,Tang ^[2] ; Hao,Zhang ^[1] ; Zhirui,Li ^[1] ; Wanyu,Deng ^[3] ; Chen,Zhao ^[3] ; Lianghui,Fan ^[3] ; Guoqi,Wang ^[4] ; Jianheng,Liu ^[1] ; Peng,Yin ^[5] ; Gaoxiang,Xu ^[1] ; Licheng,Zhang ^[6] ; Peifu,Tang ^[7]

作者单位： Department of Orthopaedics, Chinese PLA General Hospital, No. 28 Fuxing Road, Beijing, 100853, China. ^[1] School of Automation, Xi'an University of Posts and Telecommunications, Xi'an, Shanxi, 710121, China. ^[2] School of Computer, Xi'an University of Posts and Telecommunications, Xi'an, Shanxi, 710121, China. ^[3] Department of Pediatrics, Chinese PLA General Hospital, No. 28 Fuxing Road, Beijing 100853, China. ^[4] Department of Orthopedics, Beijing Chaoyang Hospital, Capital Medical University, No. 8 Gong Ren Ti Yu Chang Nan Lu Rd, Beijing 100020, China. ^[5] Department of Orthopaedics, Chinese PLA General Hospital, No. 28 Fuxing Road, Beijing, 100853, China. Electronic address: zhanglcheng218@126.com. ^[6] Department of Orthopaedics, Chinese PLA General Hospital, No. 28 Fuxing Road, Beijing, 100853, China. Electronic address: pftang301@163.com. ^[7]

关键词 3D-CT Hausdorff distance Intertrochanteric fracture classification K-means Orphological fracture lines