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Proceedings Paper

Effective chromatic texture coding for robust skin disease minimal descriptor quantification
Author(s): Rodolfo A. Fiorini; M. Crivellini; G. Codagnone; Gianfranco F. Dacquino; M. Libertini; A. Morresi
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Paper Abstract

Among the various skin diseases skin tumors are the most serious ones and skin melanoma is particularly dangerous. Its malignant evolution lasts about 5 or 6 years and ends with the death of the patient. Early diagnosis is a powerful means of preventing this evolution allowing sudden intervention which increases probability of recover and survival. Purpose of this paper is to present an active support system (ASS) able to reveal and quantify the stage of disease evolution. The work focuses the problem encountered in chromatic information encoding the morphological aspects quantification. A new method is proposed which permits robust and reliable quantification of image data obtained via a digital epiluminescence dermatoscopy apparatus (DELM) designed and built with interesting new features. The image information extraction is based on minimal descriptor set of parameters in order to classify chromatic texture and morphological features. The active support systems is based on DELM technique, taking advantage of polarized light guided by optical fibers. In the purpose to discriminate between malignant and benign melanocytic lesions, several dermatoscopical features have been proposed by different research groups. Nevertheless many are the attempts to reach a reliable and objective classification procedure. We adopt, as reference, the approach used by Stanganelli and Kenet. Through a bioengineering analysis we can organize reference grids that offer the possibility to extract the maximum information content from dermatological data. The classification takes into account the Spread and Intrinsic Descriptors and correspond to the best operative description. Therefore these grids are the more suitable tools for application which require ASS for diagnosis. In fact it is possible to obtain quantitative evaluations too. We propose a method based on geometrical synthetical descriptors. All that permits a reliable early diagnosis of melanotic disease and to follow its evolution in time. The results obtained allow for disease classification procedure with determination of reference grids for pathological cases and ultimately permits effective early diagnosis of melanotic disease and its follow-up. The first results and the incoming work points to the realization of an Automatic Support System for general dermatological applications.3034

Paper Details

Date Published: 25 April 1997
PDF: 12 pages
Proc. SPIE 3034, Medical Imaging 1997: Image Processing, (25 April 1997); doi: 10.1117/12.274156
Show Author Affiliations
Rodolfo A. Fiorini, Politecnico di Milano (Italy)
M. Crivellini, Politecnico di Milano (Italy)
G. Codagnone, INRCA (Italy)
Gianfranco F. Dacquino, Politecnico di Milano (Italy)
M. Libertini, INRCA (Italy)
A. Morresi, INRCA (Italy)


Published in SPIE Proceedings Vol. 3034:
Medical Imaging 1997: Image Processing
Kenneth M. Hanson, Editor(s)

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