Automatic change detection and quantification of dermatological diseases with an application to psoriasis images

  • Authors:
  • David Delgado Gomez;Constantine Butakoff;Bjarne Ersbøll;Jens Michael Carstensen

  • Affiliations:
  • Computational Imaging Lab, Department of Technology, Universitat Pompeu Fabra, Pg. de Circumval.lacio 8, Barcelona 08003, Spain;Computational Imaging Lab, Department of Technology, Universitat Pompeu Fabra, Pg. de Circumval.lacio 8, Barcelona 08003, Spain;Informatics and Mathematical Modelling, Technical University of Denmark, Denmark;Informatics and Mathematical Modelling, Technical University of Denmark, Denmark

  • Venue:
  • Pattern Recognition Letters
  • Year:
  • 2007

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Abstract

Change monitoring in skin lesion analysis has proven to be a useful adjunct in their assessment. This article presents a comparative study of the available change detection techniques applied to change visualization and quantification in bi-temporal psoriasis images. The chosen methods are evaluated on a time series of psoriasis images and results are compared with dermatologists' scores.