Computer Aided Evaluation (CAE) of Morphologic Changes in Pigmented Skin Lesions [chapter]

Maria Rizzi, Matteo D'Aloia, Gianpaolo Cice
<span title="">2015</span> <i title="Springer International Publishing"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/2w3awgokqne6te4nvlofavy5a4" style="color: black;">Lecture Notes in Computer Science</a> </i> &nbsp;
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
more &raquo; ... l 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.
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/978-3-319-23222-5_31">doi:10.1007/978-3-319-23222-5_31</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/qwovcltfuzcfnop6xcbroeqkk4">fatcat:qwovcltfuzcfnop6xcbroeqkk4</a> </span>
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