Automatic Segmentation of Quadriceps Femoris Cross-Sectional Area in Ultrasound Images: Development and Validation of Convolutional Neural Networks in People With Anterior Cruciate Ligament Injury and Surgery.

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第一作者： Beyza,Tayfur

第一单位： School of Kinesiology, University of Michigan, Ann Arbor, MI, USA; Orthopedic Rehabilitation & Biomechanics (ORB) Laboratory, University of Michigan, Ann Arbor, MI, USA.

作者： Beyza,Tayfur ^[1] ; Paul,Ritsche ^[2] ; Olivia,Sunderlik ^[3] ; Madison,Wheeler ^[3] ; Eric,Ramirez ^[3] ; Jacob,Leuteneker ^[3] ; Oliver,Faude ^[2] ; Martino V,Franchi ^[4] ; Alexa K,Johnson ^[1] ; Riann,Palmieri-Smith ^[5]

作者单位： School of Kinesiology, University of Michigan, Ann Arbor, MI, USA; Orthopedic Rehabilitation & Biomechanics (ORB) Laboratory, University of Michigan, Ann Arbor, MI, USA. ^[1] Department of Sport, Exercise and Health, University of Basel, Basel, Switzerland. ^[2] Orthopedic Rehabilitation & Biomechanics (ORB) Laboratory, University of Michigan, Ann Arbor, MI, USA. ^[3] Department of Biomedical Sciences, University of Padua, Padua, Italy. ^[4] School of Kinesiology, University of Michigan, Ann Arbor, MI, USA; Orthopedic Rehabilitation & Biomechanics (ORB) Laboratory, University of Michigan, Ann Arbor, MI, USA; Department of Orthopaedic Surgery, Michigan Medicine, Ann Arbor, MI, USA. Electronic address: riannp@umich.edu. ^[5]

关键词 ACLR Anterior cruciate ligament reconstruction Automated image segmentation Deep neural networks Muscle cross sectional area Panoramic ultrasound Quadriceps femoris muscle