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Proceedings Paper

Application of principal component analysis to multispectral imaging data for evaluation of pigmented skin lesions
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Paper Abstract

Non-invasive and fast primary diagnostics of pigmented skin lesions is required due to frequent incidence of skin cancer – melanoma. Diagnostic potential of principal component analysis (PCA) for distant skin melanoma recognition is discussed. Processing of the measured clinical multi-spectral images (31 melanomas and 94 nonmalignant pigmented lesions) in the wavelength range of 450-950 nm by means of PCA resulted in 87 % sensitivity and 78 % specificity for separation between malignant melanomas and pigmented nevi.

Paper Details

Date Published: 18 November 2013
PDF: 5 pages
Proc. SPIE 9032, Biophotonics—Riga 2013, 903204 (18 November 2013); doi: 10.1117/12.2044383
Show Author Affiliations
Dainis Jakovels, Univ. of Latvia (Latvia)
Ilze Lihacova, Univ. of Latvia (Latvia)
Ilona Kuzmina, Univ. of Latvia (Latvia)
Janis Spigulis, Univ. of Latvia (Latvia)


Published in SPIE Proceedings Vol. 9032:
Biophotonics—Riga 2013
Janis Spigulis; Ilona Kuzmina, Editor(s)

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