Image processing techniques have been long proposed for automatic analysis of skin lesions in the field of early detection of melanoma. Nevertheless, Computer Aided Systems are not yet able to outperform the diagnostic accuracy of expert dermatologists. They could instead reveal very useful in providing with a second opinion and improving the detection results from physicians with short clinical experience. The paper introduces an original web-based application for the automatic detection of dermoscopic structures within pigmented lesions and the support to novel dermatologists. It is able to receive and store digital images captured by digital cameras and smartphones equipped with dermoscopy, measure morphological and chromatic parameters, and take into account the measurement uncertainty to finally provide a clinical decision according to the diagnostic method 7-Point Checklist. © 2015 IEEE.
A web-based application for dermoscopic measurements and learning
DI LEO, Giuseppe;LIGUORI, CONSOLATINA;PAOLILLO, Alfredo;SOMMELLA, PAOLO
2015-01-01
Abstract
Image processing techniques have been long proposed for automatic analysis of skin lesions in the field of early detection of melanoma. Nevertheless, Computer Aided Systems are not yet able to outperform the diagnostic accuracy of expert dermatologists. They could instead reveal very useful in providing with a second opinion and improving the detection results from physicians with short clinical experience. The paper introduces an original web-based application for the automatic detection of dermoscopic structures within pigmented lesions and the support to novel dermatologists. It is able to receive and store digital images captured by digital cameras and smartphones equipped with dermoscopy, measure morphological and chromatic parameters, and take into account the measurement uncertainty to finally provide a clinical decision according to the diagnostic method 7-Point Checklist. © 2015 IEEE.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.