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Skin Cancer Prognosis Based Pigment Processing
Muthana H. Hamd, Kadhum A. Essa
Pages - 227 - 236     |    Revised - 15-05-2013     |    Published - 30-06-2013
Volume - 7   Issue - 3    |    Publication Date - June 2013  Table of Contents
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KEYWORDS
Melanoma, SCC, BCC, Skin Cancer, Color Matching.
ABSTRACT
This paper develops a new computerized vision of skin cancer prognosis based on symmetry and color matching for lesion pigments. Initially, the lesion/tumor edge is detected and segmented. Then, the symmetrization is computed for all images to isolate benign (mole) tumor. The even symmetry parameter is introduced here to improve the symmetrization computations. The suspicious images would be nominated into one of three categories: melanoma, Basal Cell Carcinoma (BCC), or Squamous Cell Carcinoma (SCC) tumor depending on the symmetrization and pigment-color matching score table. Two matching procedures have been developed for nominating the suspicious images. First procedure matches pigment values with artificial spectrums of Reddish, Yellowish, Brownish, and Blackish. The second procedure matches pigment values with true malignancy/benign pigment database. The results of two procedures are compared over 40 pre-classified images. With Mean Squared Error (MSE) value equals to 0.003, procedure#1 satisfied 80% true classification while 92.5% for procedure#2. These results could be improved if lesion segmentation and/or spectrums/pigment-database are increased.
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Dr. Muthana H. Hamd
College of Eng. Al Mustansirya University - Iraq
muth700@yahoo.com
Mr. Kadhum A. Essa
Computer & SW Engineering Al Mustansirya Baghdad, Iraq - Iraq


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