An ICA-based method for the segmentation of pigmented skin lesions in macroscopic images

Conf Proc IEEE Eng Med Biol Soc. 2011;2011:5993-6. doi: 10.1109/IEMBS.2011.6091481.

Abstract

Segmentation is an important step in computer-aided diagnostic systems for pigmented skin lesions, since that a good definition of the lesion area and its boundary at the image is very important to distinguish benign from malignant cases. In this paper a new skin lesion segmentation method is proposed. This method uses Independent Component Analysis to locate skin lesions in the image, and this location information is further refined by a Level-set segmentation method. Our method was evaluated in 141 images and achieved an average segmentation error of 16.55%, lower than the results for comparable state-of-the-art methods proposed in literature.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Algorithms*
  • Dermoscopy / methods*
  • Humans
  • Image Enhancement / methods
  • Image Interpretation, Computer-Assisted / methods*
  • Melanoma / pathology*
  • Pattern Recognition, Automated / methods*
  • Pigmentation Disorders / pathology*
  • Principal Component Analysis
  • Reproducibility of Results
  • Sensitivity and Specificity
  • Skin Neoplasms / pathology*