Computer aided evaluation (CAE) of morphologic changes in pigmented skin lesions

Mole pattern changes are important elements in detecting cancerous skin lesions, the early stage detection is a key factor to completely cure the pathology. In this paper, an automatic system for mole-tracking is indicated. The method presented is been realized as a mobile app and can be used to perform periodically a careful self-examination of their pigmented skin lesions. The implemented method receives in input two segmented images of the same pigmented skin lesion corresponding to the actual image and to the image before the last period under test. The method performs image matching and changes evaluation adopting a three stage artificial neural network and provides as output a risk indicator related to the morphology changes of the skin lesion.