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Computational Methods and Clinical Applications in Musculoskeletal Imaging

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Cover of 'Computational Methods and Clinical Applications in Musculoskeletal Imaging'

Table of Contents

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    Book Overview
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    Chapter 1 Localization of Bone Surfaces from Ultrasound Data Using Local Phase Information and Signal Transmission Maps
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    Chapter 2 Shape-Aware Deep Convolutional Neural Network for Vertebrae Segmentation
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    Chapter 3 Automated Characterization of Body Composition and Frailty with Clinically Acquired CT
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    Chapter 4 Unfolded Cylindrical Projection for Rib Fracture Diagnosis
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    Chapter 5 3D Cobb Angle Measurements from Scoliotic Mesh Models with Varying Face-Vertex Density
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    Chapter 6 Automatic Localization of the Lumbar Vertebral Landmarks in CT Images with Context Features
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    Chapter 7 Joint Multimodal Segmentation of Clinical CT and MR from Hip Arthroplasty Patients
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    Chapter 8 Reconstruction of 3D Muscle Fiber Structure Using High Resolution Cryosectioned Volume
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    Chapter 9 Segmentation of Pathological Spines in CT Images Using a Two-Way CNN and a Collision-Based Model
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    Chapter 10 Attention-Driven Deep Learning for Pathological Spine Segmentation
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    Chapter 11 Automatic Full Femur Segmentation from Computed Tomography Datasets Using an Atlas-Based Approach
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    Chapter 12 Classification of Osteoporotic Vertebral Fractures Using Shape and Appearance Modelling
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    Chapter 13 DSMS-FCN: A Deeply Supervised Multi-scale Fully Convolutional Network for Automatic Segmentation of Intervertebral Disc in 3D MR Images
Attention for Chapter 8: Reconstruction of 3D Muscle Fiber Structure Using High Resolution Cryosectioned Volume
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Chapter title
Reconstruction of 3D Muscle Fiber Structure Using High Resolution Cryosectioned Volume
Chapter number 8
Book title
Computational Methods and Clinical Applications in Musculoskeletal Imaging
Published by
Springer, Cham, September 2017
DOI 10.1007/978-3-319-74113-0_8
Book ISBNs
978-3-31-974112-3, 978-3-31-974113-0
Authors

Yoshito Otake, Kohei Miyamoto, Axel Ollivier, Futoshi Yokota, Norio Fukuda, Lauren J. O’Donnell, Carl-Fredrik Westin, Masaki Takao, Nobuhiko Sugano, Beom Sun Chung, Jin Seo Park, Yoshinobu Sato, Otake, Yoshito, Miyamoto, Kohei, Ollivier, Axel, Yokota, Futoshi, Fukuda, Norio, O’Donnell, Lauren J., Westin, Carl-Fredrik, Takao, Masaki, Sugano, Nobuhiko, Chung, Beom Sun, Park, Jin Seo, Sato, Yoshinobu

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 7 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 29%
Student > Postgraduate 1 14%
Unknown 4 57%
Readers by discipline Count As %
Computer Science 1 14%
Agricultural and Biological Sciences 1 14%
Medicine and Dentistry 1 14%
Engineering 1 14%
Unknown 3 43%