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

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书目名称Intelligent Orthopaedics影响因子(影响力)




书目名称Intelligent Orthopaedics影响因子(影响力)学科排名




书目名称Intelligent Orthopaedics网络公开度




书目名称Intelligent Orthopaedics网络公开度学科排名




书目名称Intelligent Orthopaedics被引频次




书目名称Intelligent Orthopaedics被引频次学科排名




书目名称Intelligent Orthopaedics年度引用




书目名称Intelligent Orthopaedics年度引用学科排名




书目名称Intelligent Orthopaedics读者反馈




书目名称Intelligent Orthopaedics读者反馈学科排名

连锁,连串

Computer-Aided Orthopedic Surgery: Incremental Shift or Paradigm Change?, orthopedic surgery. In this paper, we provide the technical and clinical context raised by this observation in an attempt to elucidate the reasons for this state of affairs. We start with a brief outline of the history of CAOS, review the main CAOS technologies, and describe how they are evaluated.

FLORA

CAMISS Concept and Its Clinical Application,ly invasive spine surgery was first brought out, the concept of decreasing the damage to patient was soon become popular. However, without the proper surgical field, the spine surgery can be very dangerous. The minimally invasive concept was restricted in promotion until the computer-assisted naviga

vertebrate

Surgical Navigation in Orthopedics: Workflow and System Review,, such as musculoskeletal trauma, spine diseases, sports injuries, degenerative diseases, infections, tumors, and congenital disorders. Surgical navigation is generally recognized as the next generation technology of orthopedic surgery. The development of orthopedic navigation systems aims to analyz

GORGE

高脚酒杯

Deep Learning-Based Automatic Segmentation of the Proximal Femur from MR Images, network for segmentation of proximal femur in 3D MR images. After training, our network can directly map a whole volumetric data to its volume-wise labels. Inspired by previous work, multi-level deep supervision is designed to alleviate the potential gradient vanishing problem during training. It i

精美食品

Muscle Segmentation for Orthopedic Interventions,le segmentation on 3D CT images. The first method is based on a computational anatomical model, and the second method is a deep learning-based method. The computational anatomy-based methods are modeling the muscle shape with its running and use it for segmentation. In the deep learning-based method

外表读作

恸哭

Atlas-Based 3D Intensity Volume Reconstruction from 2D Long Leg Standing X-Rays: Application to Har images is addressed. We present an atlas-based 2D-3D intensity volume reconstruction approach by combining a 2D-2D nonrigid registration-based 3D landmark reconstruction procedure with an adaptive regularization step. More specifically, an atlas derived from the CT acquisition of a healthy lower ex

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