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Automated segmentation of the knee for age assessment in 3D MR images using convolutional neural networks.

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第一作者： Paul-Louis,Pröve

第一单位： Department of Medical and Industrial Image Processing, University of Applied Sciences of Wedel, Feldstraße 143, 22880, Wedel, Germany.

作者： Paul-Louis,Pröve ^[1] ; Eilin,Jopp-van Well ^[2] ; Ben,Stanczus ^[1] ; Michael M,Morlock ^[3] ; Jochen,Herrmann ^[4] ; Michael,Groth ^[4] ; Dennis,Säring ^[1] ; Markus,Auf der Mauer ^[5]

作者单位： Department of Medical and Industrial Image Processing, University of Applied Sciences of Wedel, Feldstraße 143, 22880, Wedel, Germany. ^[1] Department of Legal Medicine, University Medical Center Hamburg-Eppendorf (UKE), Butenfeld 34, 22529, Hamburg, Germany. ^[2] Institute of Biomechanics M3, Hamburg University of Technology (TUHH), Denickestraße 15, 21073, Hamburg, Germany. ^[3] Pediatric Radiology Department, University Medical Center Hamburg-Eppendorf (UKE), Martinistr. 52, 20246, Hamburg, Germany. ^[4] Department of Medical and Industrial Image Processing, University of Applied Sciences of Wedel, Feldstraße 143, 22880, Wedel, Germany. adm@fh-wedel.de. ^[5]

关键词 Age estimation Convolutional neural networks Knee MRI Segmentation

医学主题词青少年(Adolescent);骨骼年龄测定(Age Determination by Skeleton);软骨, 关节(Cartilage, Articular);人类(Humans);图像处理, 计算机辅助(Image Processing, Computer-Assisted);膝关节(Knee Joint);青年人(Young Adult)

DOI 10.1007/s00414-018-1953-y

PMID 30392059

发布时间 2021-09-07

基金项目

SA 2530/6-1/Deutsche Forschungsgemeinschaft JO 1198/2-1/Deutsche Forschungsgemeinschaft

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