Titlebook: Intelligent Orthopaedics; Artificial Intellige Guoyan Zheng,Wei Tian,Xiahai Zhuang Book 2018 Springer Nature Singapore Pte Ltd. 2018 Intell

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苦涩

Muscle Segmentation for Orthopedic Interventions, features of a representative method. We discuss the various examples of site-specific segmentation of skeletal muscle in non-contrast images using torso CT and whole-body CT including in cervical, thoracoabdominal, surface and deep muscles. And we also mention the possibility of application to orthopedic intervention.

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0065-2598 ovides a global perspective for the technology developments.This book introduces readers to the latest technological advances in the emerging field of intelligent orthopaedics. Artificial intelligence and smart instrumentation techniques are now revolutionizing every area of our lives, including med

Cougar

Multi-object Model-Based Multi-atlas Segmentation Constrained Grid Cut for Automatic Segmentation ofive lumbar vertebrae from each other. We evaluate our method on 21 clinical lumbar spinal CT images with the associated manual segmentation and conduct a leave-one-out study. Our method achieved an average Dice coefficient of 93.9 ± 1.0% and an average symmetric surface distance of 0.41 ± 0.08 mm.

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Deep Learning-Based Automatic Segmentation of the Proximal Femur from MR Images,s also used together with partial transfer learning to boost the training efficiency when only small set of labeled training data are available. The present method was validated on 20 3D MR images of femoroacetabular impingement patients. The experimental results demonstrate the efficacy of the present method.

ALLAY

CAMISS Concept and Its Clinical Application, better recovery and also became the gold standard for spine surgery. The spatial distribution concept and the respiration-induced motion concept help in promoting the accuracy and safety of the CAMISS concept. The CAMISS concept also facilitated the developing of robotic techniques, which was considered as the future of orthopedic surgery.