Automatic tracking of cervical spine using fluoroscopic sequences

Muhammad Nauman, Ali Hassan, Farhan Riaz, Saad Rehman, Rasmus Wiberg Nedergard, Kelly Holt, Heidi Haavik, Imran Khan Niazi

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

1 Citation (Scopus)
Original languageEnglish
Title of host publication2017 Intelligent Systems Conference, IntelliSys 2017
Number of pages7
PublisherIEEE Signal Processing Society
Publication date23 Mar 2018
Pages592-598
Article number8324355
ISBN (Electronic)9781509064359
DOIs
Publication statusPublished - 23 Mar 2018
Event2017 Intelligent Systems Conference, IntelliSys 2017 - London, United Kingdom
Duration: 7 Sep 20178 Sep 2017

Conference

Conference2017 Intelligent Systems Conference, IntelliSys 2017
CountryUnited Kingdom
CityLondon
Period07/09/201708/09/2017
Series2017 Intelligent Systems Conference, IntelliSys 2017
Volume2018-January

Bibliographical note

Publisher Copyright:
© 2017 IEEE.

Copyright:
Copyright 2018 Elsevier B.V., All rights reserved.

Keywords

  • annotated data
  • Cervical vertebrae
  • flexion-extension
  • range of motion
  • segmentation

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