Detection of Basal Cell Carcinoma using Color and Histogram Measures of Semitranslucent Areas
Background: Semitranslucency, defined as a smooth, jelly-like area with varied, near-skin-tone color, can indicate a diagnosis of basal cell carcinoma (BCC) with high specificity. This study sought to analyze potential areas of semitranslucency with histogram-derived texture and color measures to discriminate BCC from non-semitranslucent areas in non-BCC skin lesions. Methods: For 210 dermoscopy images, the areas of semitranslucency in 42 BCCs and comparable areas of smoothness and color in 168 non-BCCs were selected manually. Six color measures and six texture measures were applied to the semitranslucent areas of the BCC and the comparable areas in the non-BCC images. Results: Receiver operating characteristic (ROC)curve analysis showed that the texture measures alone provided greater separation of BCC from non-BCC than the color measures alone. Statistical analysis showed that the four most important measures of semitranslucency are three histogram measures: contrast, smoothness, and entropy, and one color measure: blue chromaticity. Smoothness is the single most important measure. the combined 12 measures achieved a diagnostic accuracy of 95.05% based on area under the ROC curve. Conclusion: Texture and color analysis measures, especially smoothness, may afford automatic detection of BCC images with semitranslucency.
W. V. Stoecker and K. Gupta and B. Shrestha and M. Wronkiewiecz and R. Chowdhury and R. J. Stanley and J. Xu and R. H. Moss and M. E. Celebi and H. S. Rabinovitz and M. Oliviero and J. M. Malters and I. Kolm, "Detection of Basal Cell Carcinoma using Color and Histogram Measures of Semitranslucent Areas," Skin Research and Technology, vol. 15, no. 3, pp. 283-287, Wiley-Blackwell, Aug 2009.
The definitive version is available at http://dx.doi.org/10.1111/j.1600-0846.2009.00354.x
Electrical and Computer Engineering
National Institute of Health (U.S.)
Keywords and Phrases
Area under the Roc Curve; Automatic Detection; Basal Cell Carcinoma; Color Analysis; Dermoscopy; Dermoscopy Images; Diagnostic Accuracy; High Specificity; Receiver Operating Characteristic Curve Analysis; Semitranslucency; Skin Lesion; Statistical Analysis; Tone Colors; Cell Membranes; Image Analysis; Skin; Textures; Color; Basal Cell Carcinoma; Cell Differentiation; Cell Separation; Cell Structure; Clinical Color; Controlled Study; Diagnostic Accuracy; Entropy; Epiluminescence Microscopy; Histogram; Human; Image Analysis; Image Quality; Receiver Operating Characteristic; Semitranslucency; Sensitivity and Specificity; Carcinoma; Basal Cell; Colorimetry; Data Interpretation; Statistical; Dermoscopy; Humans; Image Interpretation; Computer-assisted; Reproducibility of Results; Sensitivity and Specificity; Skin Neoplasms; Skin Pigmentation
International Standard Serial Number (ISSN)
Article - Journal
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