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Computerized system to enhance the clinical diagnosis of pigmented cutaneous malignancies
Author(s) -
Landau Marina,
Matz Hagit,
Tur Ethel,
And Menachem Dvir,
Brenner Sarah
Publication year - 1999
Publication title -
international journal of dermatology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.677
H-Index - 93
eISSN - 1365-4632
pISSN - 0011-9059
DOI - 10.1046/j.1365-4362.1999.00629.x
Subject(s) - medicine , lesion , melanoma , dermatology , clinical diagnosis , incidence (geometry) , melanoma diagnosis , hue , diagnostic accuracy , radiology , pathology , artificial intelligence , pediatrics , physics , cancer research , computer science , optics
Background An increase in the incidence of cutaneous malignant melanoma in recent years has not been accompanied by satisfactory progress in diagnostic methods. This study was carried out to evaluate a specially designed computerized image analysis system, called Derma Vision, to aid in the differentiation between malignant and benign cutaneous pigmented lesions. Methods Seventy‐one lesions were photographed with a digital camera and the data were analyzed by the Derma Vision system. The system assessed the variation of hues in each image, calculated the mean standard deviation of the hues, and produced a value that expressed the range of hues in the lesion. The lesions were then excised and examined histologically. The computer‐assisted clinical diagnosis was correlated with the histologic diagnosis to determine the accuracy of the former. Results Derma Vision predicted the malignant character of a lesion with 92% precision, compared with 87% accuracy based only on the clinical features. Conclusions This simple, inexpensive device can boost the accuracy of clinical diagnosis and provide a useful tool to the physician faced increasingly with having to determine whether pigmented lesions are malignant or benign.