title: Asymmetry in dermoscopic melanocytic lesion images: a computer description based on colour distribution.
abstract: Digital dermoscopy improves the accuracy of melanoma diagnosis. The aim of this study was to develop and validate software for assessment of asymmetry in melanocytic lesion images, based on evaluation of colour symmetry, and to compare it with assessment by human observers. An image analysis program enabling numerical assessment of asymmetry in melanocytic lesions, based on the evaluation and comparison of CIE L*a*b* colour components (CIE L*a*b* is the name of a colour space defined by the Commission Internationale de l'Eclairage) inside image colour blocks, was employed on the recorded lesion images. Clinical evaluation of asymmetry in dermoscopic images was performed on the same image set employing a 0-1 scoring system. Asymmetry judgement was expressed by the clinicians for 12.8% of benign naevi, 44.7% of atypical naevi and 64.2% of malignant melanomas, whereas the computer identified as asymmetric 6.3%, 33.3% and 82.2%, respectively. Numerical parameters referring to malignant melanomas were significantly higher, both with respect to benign naevi and atypical naevi. The numerical parameters produced could be effectively employed for computer-aided melanoma diagnosis.
authors.affiliation: Department of Dermatology, University of Modena and Reggio Emilia, I-41100 Modena, Italy.
authors.forename: Stefania
authors.initials: S
authors.lastname: Seidenari
authors.forename: Giovanni
authors.initials: G
authors.lastname: Pellacani
authors.forename: Costantino
authors.initials: C
authors.lastname: Grana
mesh_terms: D019992:Databases as Topic; D046169:Dermoscopy; D003936:Diagnosis, Computer-Assisted; D006801:Humans; D007091:Image Processing, Computer-Assisted; D008545:Melanoma / Q000175:diagnosis*; D009508:Nevus, Pigmented / Q000175:diagnosis*; D012372:ROC Curve; D012680:Sensitivity and Specificity; D012878:Skin Neoplasms / Q000175:diagnosis*