Computational Methods and Clinical Applications in Musculoskeletal Imaging 6th International Workshop, MSKI 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16, 2018, Revised Selected Papers

Computational Methods and Clinical Applications in Musculoskeletal Imaging 6th International Workshop, MSKI 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16, 2018, Revised Selected Papers / edited by Tomaž Vrtovec, Jianhua Yao, Guoyan Zheng, Jose M. Pozo.

This book constitutes the refereed proceedings of the 6th International Workshop on Computational Methods and Clinical Applications for Musculoskeletal Imaging, MSKI 2018, held in conjunction with MICCAI 2018, in Granada, Spain, in September 2018. The 13 workshop papers were carefully reviewed and s...

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Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Vrtovec, Tomaž (Editor), Yao, Jianhua (Editor), Zheng, Guoyan (Editor), Pozo, Jose M. (Editor)
Format: eBook
Language:English
Published: Cham : Springer International Publishing : Imprint: Springer, 2019.
Edition:1st ed. 2019.
Series:Image Processing, Computer Vision, Pattern Recognition, and Graphics ; 11404
Springer eBook Collection.
Subjects:
Optical data processing.
Artificial intelligence.
Health informatics.
Electronic resources (E-books)
Online Access:Click to view e-book
Holy Cross Note:Loaded electronically.
Electronic access restricted to members of the Holy Cross Community.
Table of Contents:
  • Automated Recognition of Erector Spinae Muscles and Their Skeletal Attachment Region via Deep Learning in Torso CT Images
  • Fully automatic teeth segmentation in adult OPG images
  • Fully Automatic Planning of Total Shoulder Arthroplasty without Segmentation: A Deep Learning Based Approach
  • Deep Volumetric Shape Learning for Semantic Segmentation of the Hip Joint from 3D MR Images
  • Pelvis segmentation using multi-pass U-net and iterative shape estimation
  • Bone Adaptation as Level Set Motion
  • Landmark Localisation in Radiographs Using Weighted Heatmap Displacement Voting
  • Perthes Disease Classification Using Shape and Appearance Modelling
  • Deep Learning Based Rib Centerline Extraction and Labeling
  • Automatic Wrist Fracture Detection From Posteroanterior and Lateral Radiographs: A Deep Learning-Based Approach
  • Bone Reconstruction and Depth Control During Laser Ablation
  • Automated Dynamic 3D Ultrasound Assessment of Developmental Dysplasia of the Infant Hip
  • Automated Measurement of Pelvic Incidence from X-Ray Images.

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