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Proceedings Paper

Detection of blue-white veil areas in dermoscopy images using machine learning techniques
Author(s): M. Emre Celebi; Hassan A. Kingravi; Y. Alp Aslandogan; William V. Stoecker
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Paper Abstract

As a result of the advances in skin imaging technology and the development of suitable image processing techniques, during the last decade, there has been a significant increase of interest in the computer-aided diagnosis of skin cancer. Dermoscopy is a non-invasive skin imaging technique which permits visualization of features of pigmented melanocytic neoplasms that are not discernable by examination with the naked eye. One of the useful features in dermoscopic diagnosis is the blue-white veil (irregular, structureless areas of confluent blue pigmentation with an overlying white "ground-glass" film) which is mostly associated with invasive melanoma. In this preliminary study, a machine learning approach to the detection of blue-white veil areas in dermoscopy images is presented. The method involves pixel classification based on relative and absolute color features using a decision tree classifier. Promising results were obtained on a set of 224 dermoscopy images.

Paper Details

Date Published: 17 March 2006
PDF: 8 pages
Proc. SPIE 6144, Medical Imaging 2006: Image Processing, 61445T (17 March 2006); doi: 10.1117/12.655779
Show Author Affiliations
M. Emre Celebi, Univ. of Texas at Arlington (United States)
Hassan A. Kingravi, Univ. of Texas at Arlington (United States)
Y. Alp Aslandogan, Univ. of Texas at Arlington (United States)
William V. Stoecker, W.V. Stoecker, Stoecker and Associates (United States)


Published in SPIE Proceedings Vol. 6144:
Medical Imaging 2006: Image Processing
Joseph M. Reinhardt; Josien P. W. Pluim, Editor(s)

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