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Proceedings Paper

A new system of computer-aided diagnosis of skin lesions
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Paper Abstract

The aim of this study is to develop and evaluate a new set of color features and their performance on the classification of skin lesions. The proposed system introduces new features based on 2-dimensional color histograms, an automated segmentation method using a fusion of thresholding methods, classification procedures and is designed to be used by dermatologists as a complete integrated dermatological analysis tool to improve the rate of correct diagnosis above 90%. Simulations are implemented to show the measured features as well as classification results. The outcomes showed that the CAD model discussed in this paper has an improved classification performance and is an objective diagnostic tool that can be used in medical practice.

Paper Details

Date Published: 2 February 2012
PDF: 12 pages
Proc. SPIE 8295, Image Processing: Algorithms and Systems X; and Parallel Processing for Imaging Applications II, 82951A (2 February 2012); doi: 10.1117/12.906796
Show Author Affiliations
Isaac Sanchez, The Univ. of Texas at San Antonio (United States)
Sos Agaian, The Univ. of Texas at San Antonio (United States)


Published in SPIE Proceedings Vol. 8295:
Image Processing: Algorithms and Systems X; and Parallel Processing for Imaging Applications II
Karen O. Egiazarian; John Recker; Guijin Wang; Sos S. Agaian; Atanas P. Gotchev, Editor(s)

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