Coverart for item
The Resource Computational methods and clinical applications in musculoskeletal imaging : 5th International Workshop, MSKI 2017, held in conjunction with MICCAI 2017, Quebec City, QC, Canada, September 10, 2017, Revised selected papers, Ben Glocker, Jianhua Yao, Tomaž Vrtovec, Alejandro Frangi, Guoyan Zheng (eds.)

Computational methods and clinical applications in musculoskeletal imaging : 5th International Workshop, MSKI 2017, held in conjunction with MICCAI 2017, Quebec City, QC, Canada, September 10, 2017, Revised selected papers, Ben Glocker, Jianhua Yao, Tomaž Vrtovec, Alejandro Frangi, Guoyan Zheng (eds.)

Label
Computational methods and clinical applications in musculoskeletal imaging : 5th International Workshop, MSKI 2017, held in conjunction with MICCAI 2017, Quebec City, QC, Canada, September 10, 2017, Revised selected papers
Title
Computational methods and clinical applications in musculoskeletal imaging
Title remainder
5th International Workshop, MSKI 2017, held in conjunction with MICCAI 2017, Quebec City, QC, Canada, September 10, 2017, Revised selected papers
Statement of responsibility
Ben Glocker, Jianhua Yao, Tomaž Vrtovec, Alejandro Frangi, Guoyan Zheng (eds.)
Title variation
MSKI 2017
Creator
Contributor
Editor
Subject
Genre
Language
eng
Summary
This book constitutes the refereed proceedings of the 5th International Workshop and Challenge on Computational Methods and Clinical Applications for Musculoskeletal Imaging, MSKI 2017, held in conjunction with MICCAI 2017, in Quebec City, QC, Canada, in September 2017. The 13 workshop papers were carefully reviewed and selected for inclusion in this volume. Topics of interest include all major aspects of?culoskeletal imaging, for example: clinical applications of musculoskeletal computational imaging; computer-aided detection and diagnosis of conditions of the bones, muscles and joints; image-guided musculoskeletal surgery and interventions; image-based assessment and monitoring of surgical and pharmacological treatment; segmentation, registration, detection, localization and visualization of the musculoskeletal anatomy; statistical and geometrical modeling of the musculoskeletal shape and appearance; image-based microstructural characterization of musculoskeletal tissue; novel techniques for musculoskeletal imaging
Member of
Cataloging source
GW5XE
Dewey number
616.7/0754
Illustrations
illustrations
Index
index present
LC call number
RC925.7
Literary form
non fiction
http://bibfra.me/vocab/lite/meetingDate
2017
http://bibfra.me/vocab/lite/meetingName
MSKI (Workshop)
Nature of contents
dictionaries
http://library.link/vocab/relatedWorkOrContributorName
  • Glocker, Ben
  • Yao, Jianhua
  • Vrtovec, Tomaž
  • Frangi, Alejandro F.
  • Zheng, Guoyan
Series statement
  • Lecture notes in computer science,
  • LNCS sublibrary. SL 5, Computer communication networks and telecommunications
Series volume
10734
http://library.link/vocab/subjectName
Musculoskeletal system
Label
Computational methods and clinical applications in musculoskeletal imaging : 5th International Workshop, MSKI 2017, held in conjunction with MICCAI 2017, Quebec City, QC, Canada, September 10, 2017, Revised selected papers, Ben Glocker, Jianhua Yao, Tomaž Vrtovec, Alejandro Frangi, Guoyan Zheng (eds.)
Instantiates
Publication
Note
Includes author index
Antecedent source
unknown
Carrier category
online resource
Carrier category code
cr
Carrier MARC source
rdacarrier
Color
multicolored
Content category
text
Content type code
txt
Content type MARC source
rdacontent
Contents
Localization of Bone Surfaces from Ultrasound Data Using Local Phase Information and Signal Transmission Maps -- Shape-aware Deep Convolutional Neural Network for Vertebrae Segmentation -- Automated Characterization of Body Composition and Frailty with Clinically Acquired CT -- Unfolded cylindrical projection for rib fracture diagnosis -- 3D Cobb Angle Measurements from Scoliotic Mesh Models with Varying Face-Vertex Density -- Automatic Localization of the Lumbar Vertebral Landmarks in CT Images with Context Features -- Joint Multimodal Segmentation of Clinical CT and MR from Hip Arthroplasty Patients -- Reconstruction of 3D muscle fiber structure using high resolution cryosectioned volume -- Segmentation of Pathological Spines in CT Images Using a Two-Way CNN and a Collision-Based Model -- Attention-driven deep learning for pathological spine segmentation -- Automatic Full Femur Segmentation from Computed Tomography Datasets using an Atlas-Based Approach -- Classification of Osteoporotic Vertebral Fractures using Shape and Appearance Modelling -- DSMS-FCN: A Deeply Supervised Multi-Scale Fully Convolutional Network for Automatic Segmentation of Intervertebral Disc in 3D MR Images
Control code
SPR1020792500
Dimensions
unknown
Extent
1 online resource (xii, 161 pages)
File format
unknown
Form of item
online
Isbn
9783319741130
Level of compression
unknown
Media category
computer
Media MARC source
rdamedia
Media type code
c
Other control number
10.1007/978-3-319-74113-0
Other physical details
illustrations.
Quality assurance targets
not applicable
Reformatting quality
unknown
Sound
unknown sound
Specific material designation
remote
System control number
  • on1020792500
  • (OCoLC)1020792500
Label
Computational methods and clinical applications in musculoskeletal imaging : 5th International Workshop, MSKI 2017, held in conjunction with MICCAI 2017, Quebec City, QC, Canada, September 10, 2017, Revised selected papers, Ben Glocker, Jianhua Yao, Tomaž Vrtovec, Alejandro Frangi, Guoyan Zheng (eds.)
Publication
Note
Includes author index
Antecedent source
unknown
Carrier category
online resource
Carrier category code
cr
Carrier MARC source
rdacarrier
Color
multicolored
Content category
text
Content type code
txt
Content type MARC source
rdacontent
Contents
Localization of Bone Surfaces from Ultrasound Data Using Local Phase Information and Signal Transmission Maps -- Shape-aware Deep Convolutional Neural Network for Vertebrae Segmentation -- Automated Characterization of Body Composition and Frailty with Clinically Acquired CT -- Unfolded cylindrical projection for rib fracture diagnosis -- 3D Cobb Angle Measurements from Scoliotic Mesh Models with Varying Face-Vertex Density -- Automatic Localization of the Lumbar Vertebral Landmarks in CT Images with Context Features -- Joint Multimodal Segmentation of Clinical CT and MR from Hip Arthroplasty Patients -- Reconstruction of 3D muscle fiber structure using high resolution cryosectioned volume -- Segmentation of Pathological Spines in CT Images Using a Two-Way CNN and a Collision-Based Model -- Attention-driven deep learning for pathological spine segmentation -- Automatic Full Femur Segmentation from Computed Tomography Datasets using an Atlas-Based Approach -- Classification of Osteoporotic Vertebral Fractures using Shape and Appearance Modelling -- DSMS-FCN: A Deeply Supervised Multi-Scale Fully Convolutional Network for Automatic Segmentation of Intervertebral Disc in 3D MR Images
Control code
SPR1020792500
Dimensions
unknown
Extent
1 online resource (xii, 161 pages)
File format
unknown
Form of item
online
Isbn
9783319741130
Level of compression
unknown
Media category
computer
Media MARC source
rdamedia
Media type code
c
Other control number
10.1007/978-3-319-74113-0
Other physical details
illustrations.
Quality assurance targets
not applicable
Reformatting quality
unknown
Sound
unknown sound
Specific material designation
remote
System control number
  • on1020792500
  • (OCoLC)1020792500

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