Colour clusters for computer diagnosis of melanocytic lesions. Dermatology (Basel, Switzerland) [Dermatology] Journal article | | Title | Colour clusters for computer diagnosis of melanocytic lesions. | | Author(s) | Seidenari S, Grana C, Pellacani G | | Institution | Department of Dermatology, University of Modena and Reggio Emilia, Modena, Italy. | | Source | Dermatology 2007; 214(2):137-43. | | Abstract | 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. | | Language | eng | | Pub Type(s) | Journal Article
| | PubMed ID | 17341863 |
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