STATISTICAL IMAGE PROCESSING FOR THE DETECTION OF DERMOSCOPIC CRITERIA

Valerio De Vit, Giuseppe Di Leo, Gabriella Fabbrocini, Alfredo Paolillo, Paolo Sommella

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.

Keywords

Biomedical instrumentation, image processing, diagnosis and classification,

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DOI

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IMEKO TC

TC4 - Measurement of Electrical Quantities

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