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A Probabilistic Approach to Quantification of Melanin and Hemoglobin Content in Dermoscopy Images

  • Ali Madooei
  • Mark S. Drew
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8673)

Abstract

We describe a technique that employs the stochastic Latent Topic Models framework to allow quantification of melanin and hemoglobin content in dermoscopy images. Such information bears useful implications for analysis of skin hyperpigmentation, and for classification of skin diseases. The proposed method outperforms existing approaches while allowing for more stringent and probabilistic modeling than previously.

Keywords

Independent Component Analysis Independent Component Analysis Hemoglobin Content Probabilistic Latent Semantic Analysis Seborrheic Keratosis 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Ali Madooei
    • 1
  • Mark S. Drew
    • 1
  1. 1.School of Computing ScienceSimon Fraser UniversityCanada

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