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Digital Dermoscopy Analysis and Artificial Neural Network for the Differentiation of Clinically Atypical Pigmented Skin Lesions: A Retrospective Study Pietro Rubegni, Marco Burroni, Roberto Perotti, Michele Fimiani, Lucio Andreassi Journal of Investigative Dermatology Volume 119, Issue 2, Pages (August 2002) DOI: /j x Copyright © 2002 The Society for Investigative Dermatology, Inc Terms and Conditions
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Figure 1 Digital dermoscopy analysis of a malignant melanoma (0.4 mm thick). Journal of Investigative Dermatology , DOI: ( /j x) Copyright © 2002 The Society for Investigative Dermatology, Inc Terms and Conditions
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Figure 2 Receiver operating characteristic curve (bold line) obtained using the SLP artificial neural network classifier with the leave-one-out cross-validation procedure on experimental sample data. Grey area indicates classification error. The cost of medical decision can be weighed by selecting an appropriate SP–SE pair on the curve. The finer line and the broken lines indicate the population-estimated receiver operating characteristic curve and its 95% confidence intervals for true-positive fraction (SE), at a variety of false-positive fractions (1 - SP). Journal of Investigative Dermatology , DOI: ( /j x) Copyright © 2002 The Society for Investigative Dermatology, Inc Terms and Conditions
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