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Colour clusters for computer diagnosis of melanocytic lesions. Dermatology (Basel, Switzerland) [Dermatology] Journal article

 
Seidenari S, Grana C, Pellacani G 
Colour clusters for computer diagnosis of melanocytic lesions. [Journal Article]
Dermatology 2007; 214(2):137-43.


Background: To overcome subjectivity and variability in the interpretation of dermoscopic images, image analysis programs, enabling the numerical description of melanocytic lesion images, have been developed.
Objectives: Our aim was to assess a method for the description of colours in melanocytic lesion images, based on the subdivision of image colours into red, green and blue clusters.
Methods: Melanomas and naevi of the test set were described by means of 23 colour clusters previously selected by a training set comprising 369 melanocytic lesion images. The diagnostic performance obtained by this automated method was compared to sensitivity and specificity of diagnosis of 4 dermatologists.
Results: Colour cluster values significantly differed between melanomas and naevi. Moreover, sensitivity and specificity values of computer diagnosis were similar to those achieved by the dermatologists.
Conclusion: Our image analysis program based on the assessment of one single parameter has the diagnostic accuracy of dermatologists employing dermoscopy on a regular basis. Copyright (c) 2007 S. Karger AG, Basel.



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