Results obtained by using a computerized image analysis system designed as an aid to diagnosis of cutaneous melanoma

Cascinelli, N; Ferrario, M.; Bufalino, R.; Zurrida, Stefano; Galimberti, Viviana; Mascheroni, Luigi; Bartoli, Cesare; Clemente, Claudio

doi:10.1097/00008390-199209000-00004

Cited by 82 publications

(62 citation statements)

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“…22,23 These methods are based on computerized analysis of digital images obtained by ELM. [24][25][26][27][28][29][30][31][32][33][34] In the present study we used a digital dermoscopy analyzer (DDA) with a series of "clinically difficult" PSL, both malignant and benign in nature. We evaluated a large set of morphologic variables.…”

Section: For Editorial Comment See Page 1538mentioning

confidence: 99%

Digital Dermoscopy Analysis for the Differentiation of Atypical Nevi and Early Melanoma

Andreassi¹,

Perotti²,

Rubegni³

et al. 1999

Arch Dermatol

125

102

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Objectives: To use a digital dermoscopy analyzer with a series of "borderline" pigmentary skin lesions (ie, clinically atypical nevi and early melanoma) to find correlation between the studied variables and to determine their discriminating power with respect to histological diagnosis.Design: A total of 147 pigmentary skin lesions were histologically examined by 3 experienced dermatopathologists and identified as nevi (n = 90) and melanomas (n = 57). The system evaluated 36 variables to be studied as possible discriminant variables, grouped into 4 categories: geometries, colors, textures, and islands of color.Setting: University medical department.Patients: A sample of patients with excised pigmen-tary skin lesions (nevi and melanomas).Main Outcome Measures: Sensitivity, specificity, and accuracy of the model for evaluating "borderline" pigmentary skin lesions.Results: After multivariate stepwise discriminant analysis, only 13 variables were selected to compute the canonical discriminant function. Conclusion:The present method made it possible to determine which objective variables are important for distinguishing atypical benign pigmentary skin lesions and early melanoma.

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Section: For Editorial Comment See Page 1538mentioning

confidence: 99%

Digital Dermoscopy Analysis for the Differentiation of Atypical Nevi and Early Melanoma

Andreassi¹,

Perotti²,

Rubegni³

et al. 1999

Arch Dermatol

125

102

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“…However, melanoma is well suited for image processing because it is on the skin. Some researches [2][3][4][5][6][7][8][9] have shown the advantages to use image processing in dermatology.…”

Section: Introductionmentioning

confidence: 99%

A colour image processing method for melanoma detection

Colot

Devinoy

Sombo

et al. 1998

Medical Image Computing and Computer-Assisted Intervention — MICCAI’98

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Abstrtct.In this paper, we propose a method dedicated to classification between benign and malignant lesions in Dermatology in the aim to help the clinicians for melanoma diagnosis I. The proposed methodology reduces the very numerous informations contained in the digitized imagos to a finite set of parameters giving a description of the colour and the shape of the lesions. The whole process is shared In three steps: preprocossing, segmentation and classification of the lesions. The proposed method was applied on a data base of 38 lesions (20 benign lesions and 18 malignant lesions) in the aim to assess the feasability of the proposed method. The good classification rate obtained with the method is discussed and later tests to engage are underlined.

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“…The utility of computer image analysis as a possible screening device in the detection of malignant melanoma has been explored by other investigators (11)(12)(13)(14). These investigators have employed computer algorithms which characterize size, color, shape, boundary, and even texture of malignant melanomas.…”

Section: Discussionmentioning

confidence: 99%

Textural Parameters Based on the Spatial Gray Level Dependence Method Applied to Melanocytic Nevi

Pope

Williams

Wilkinson

et al. 1996

Computers and Biomedical Research

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Results obtained by using a computerized image analysis system designed as an aid to diagnosis of cutaneous melanoma

Cited by 82 publications

References 0 publications

Digital Dermoscopy Analysis for the Differentiation of Atypical Nevi and Early Melanoma

Digital Dermoscopy Analysis for the Differentiation of Atypical Nevi and Early Melanoma

A colour image processing method for melanoma detection

Textural Parameters Based on the Spatial Gray Level Dependence Method Applied to Melanocytic Nevi

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