Title :
An improved procedure for the automatic detection of dermoscopic structures in digital ELM images of skin lesions
Author :
Di Leo, G. ; Liguori, C. ; Paolillo, A. ; Sommella, P.
Author_Institution :
Dept. of Electr. & Inf. Eng., Univ. of Salerno, Fisciano
Abstract :
Early detection of melanoma is a very critical issue in todaypsilas dermatologic practice. Different diagnostic methods have been proposed which define multiple criteria for the evaluation of the malignancy of a lesion. The paper is devoted to the detection of an important dermatologic structure: the atypical pigmented network. A proposal is described for the application of decision-tree classification techniques to the results of specific image processing algorithms for the estimation of chromatic and structural parameters.
Keywords :
decision trees; image classification; medical image processing; parameter estimation; skin; atypical pigmented network; automatic dermoscopic structures detection; chromatic parameter estimation; decision-tree classification techniques; dermatologic structure; digital ELM images; image processing algorithms; melanoma detection; skin lesions; structural parameters; Application software; Cancer; Computer aided diagnosis; Image analysis; Image color analysis; Lesions; Malignant tumors; Pattern analysis; Pigmentation; Skin; Computer-aided diagnosis; Decision Tree Classifier; Dermoscopy;
Conference_Titel :
Virtual Environments, Human-Computer Interfaces and Measurement Systems, 2008. VECIMS 2008. IEEE Conference on
Conference_Location :
Istanbul
Print_ISBN :
978-1-4244-1927-2
Electronic_ISBN :
978-1-4244-1928-9
DOI :
10.1109/VECIMS.2008.4592778
