An image based system implementing a well-known diagnostic method is disclosed for the automatic detection of melanomas as support to clinicians. The software procedure is able to recognize automatically the skin lesion within the digital image, measure morphological and chromatic feature, carry out a suitable classification for the detection of structural dermoscopic criteria provided by the 7-Point Check List. Experimental results about the adoption of statistical techniques applied to the border detection, feature extraction and classification as well as the resulting diagnostic score are described with reference to a large image set. Copyright © 2011 by the International Measurement Confederation (IMEKO) All rights reserved.
Statistical image processing for the detection of dermoscopic criteria / De Vita, V; Di Leo, G; Fabbrocini, Gabriella; Paolillo, A; Sommella, P.. - 2011:(2011), pp. 128-133. (Intervento presentato al convegno 18th IMEKO TC4 Symposium on Measurement of Electrical Quantities 2011, Part of Metrologia 2011 tenutosi a Brazil nel 27-30/09/11).
Statistical image processing for the detection of dermoscopic criteria
FABBROCINI, GABRIELLA;
2011
Abstract
An image based system implementing a well-known diagnostic method is disclosed for the automatic detection of melanomas as support to clinicians. The software procedure is able to recognize automatically the skin lesion within the digital image, measure morphological and chromatic feature, carry out a suitable classification for the detection of structural dermoscopic criteria provided by the 7-Point Check List. Experimental results about the adoption of statistical techniques applied to the border detection, feature extraction and classification as well as the resulting diagnostic score are described with reference to a large image set. Copyright © 2011 by the International Measurement Confederation (IMEKO) All rights reserved.| File | Dimensione | Formato | |
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Statistical image processing for the detection of dermoscopic criteria.pdf
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