Paper
2 February 2012 A new system of computer-aided diagnosis of skin lesions
Author Affiliations +
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.
© (2012) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Isaac Sanchez and Sos Agaian "A new system of computer-aided diagnosis of skin lesions", Proc. SPIE 8295, Image Processing: Algorithms and Systems X; and Parallel Processing for Imaging Applications II, 82951A (2 February 2012); https://doi.org/10.1117/12.906796
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CITATIONS
Cited by 2 scholarly publications.
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KEYWORDS
Skin

RGB color model

Melanoma

Image segmentation

Classification systems

Computer aided diagnosis and therapy

Skin cancer

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