Open AccessDigital dermoscopy analysis of atypical pigmented skin lesions: a stepwise logistic discriminant analysis approach
Author(s) -
Rubegni P.,
Cevenini G.,
Burroni M.,
Dell'Eva G.,
Sbano P.,
Cuccia A.,
Andreassi L.
Publication year - 2002
Publication title -
skin research and technology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.521
H-Index - 69
eISSN - 1600-0846
pISSN - 0909-752X
DOI - 10.1034/j.1600-0846.2001.00350.x
Subject(s) - linear discriminant analysis , artificial intelligence , pattern recognition (psychology) , skin lesion , digital image , digital image analysis , dermatology , melanoma , logistic regression , computer science , medicine , pathology , statistics , mathematics , computer vision , image processing , image (mathematics) , cancer research
Background: Digital microscopy is a non‐invasive diagnostic technique enabling determination of characteristics that cannot be appreciated by direct observation. If correctly applied, this technique can be useful for the diagnosis of pigmented skin lesions. Purpose: To evaluate the utility of digital microscopy for analysing atypical benign and malignant pigmented skin lesions exploiting digital numerical filtering and automatic measurements. Methods: Forty‐eight parameters were identified as possible discriminating variables, and were grouped in four categories: geometries, colours, textures, and islands of colour. Statistical analysis was used to identify the variables with the highest discriminating power. Results: The high quality of the digital image made it possible to observe diagnostic signs in pigmented skin lesion images, acquired by the present technique, in great detail. Specially designed filtering enhanced certain diagnostic patterns. Stepwise discriminant analysis selected only 10 variables (the means of these variables were higher in melanomas than in nevi). Conclusions: The combined use of digital dermoscopy and stepwise logistic discriminant analysis made it possible to single out the best objective variables for distinguishing atypical nevi and early melanoma.