The truth is hard to make: validation of medical image registration

J.P.W. Pluim, S.E.A. Muenzing, K.A.J. Eppenhof, K. Murphy

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

25 Citations (Scopus)
1 Downloads (Pure)

Abstract

An unsolved problem in medical image analysis is validation of methods. In this paper we will focus on image registration and in particular on nonlinear image registration, which is one of the hardest analysis problems to validate. The paper covers currently used methods of validation, comparative challenges and public datasets, as well as some of our own work in this area.

Original languageEnglish
Title of host publication2016 23rd International Conference on Pattern Recognition, ICPR 2016
Place of PublicationPiscataway
PublisherInstitute of Electrical and Electronics Engineers
Pages2294-2300
Number of pages7
ISBN (Electronic)9781509048472
DOIs
Publication statusPublished - 13 Apr 2017
Event23rd International Conference on Pattern Recognition, (ICPR 2016) - Cancun, Mexico
Duration: 4 Dec 20168 Dec 2016

Conference

Conference23rd International Conference on Pattern Recognition, (ICPR 2016)
Abbreviated titleICPR2016
Country/TerritoryMexico
CityCancun
Period4/12/168/12/16

Keywords

  • Evaluation
  • Image registration
  • Validation

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