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 (Editor), Jianhua Yao (Editor), Tomaz Vrtovec (Editor), Alejandro Frangi (Editor), Guoyan Zheng (Editor)

Research output: Book/ReportBook

Abstract

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 musculoskeletal 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.
Original languageEnglish
Place of PublicationCham
PublisherSpringer Cham
Number of pages161
ISBN (Electronic)9783319741130
ISBN (Print)9783319741123
DOIs
Publication statusPublished - 10 Jan 2018

Publication series

NameLecture Notes in Computer Science
PublisherSpringer
Volume10734
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Keywords

  • biomedical engineering
  • imaging
  • radiology
  • image processing and computer vision
  • computational methods
  • clinical applications
  • computer imaging, vision, pattern recognition and graphics
  • orthopedic applications
  • musculoskeletal imaging
  • spine imaging
  • image analysis
  • image segmentation
  • image reconstruction
  • computer vision
  • computer networks
  • machine learning
  • support vector machines

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