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Building an Image-Based System to Automatically Score Psoriasis

  • David Delgado Gomez
  • Jens Michael Carstensen
  • Bjarne Ersbøll
  • Lone Skov
  • Bo Bang
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2749)

Abstract

Nowadays the medical tracking of dermatological diseases is imprecise. The main reason is the lack of suitable objective methods to evaluate the lesion. The severity of the disease is scored by doctors just through their visual examination. In this work, a system to take accurate images of dermatological lesions has been developed. Mathematical methods can be applied to these images to obtain values that summarize the lesion and help to track its evolution. The system is composed of two elements. A precise image acquisition equipment and a statistical procedure to extract the lesions from the images. The system is tested on patients with the dermatological disease psoriasis. Temporal series of images are taken for each patient and the lesions are automatically extracted. Results indicate that to the images obtained are a good source for obtaining derived variables to track the lesion.

Keywords

image acquisition camera calibration mixture distribution discriminant analysis E-M algorithm psoriasis 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2003

Authors and Affiliations

  • David Delgado Gomez
    • 1
  • Jens Michael Carstensen
    • 1
  • Bjarne Ersbøll
    • 1
  • Lone Skov
    • 2
  • Bo Bang
    • 2
  1. 1.Image processing and computer vision, Informatics and Mathematical ModellingLyngbyDenmark
  2. 2.Department of dermatologyGentofte hospitalHellerupDenmark

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