I3DermoscopyApp: Hacking Melanoma thanks to IoT technologies

dc.contributor.author Di Leo, Giuseppe
dc.contributor.author Liguori, Consolatina
dc.contributor.author Paciello, Vincenzo
dc.contributor.author Pietrosanto, Antonio
dc.contributor.author Sommella, Paolo
dc.date.accessioned 2016-12-29T01:22:34Z
dc.date.available 2016-12-29T01:22:34Z
dc.date.issued 2017-01-04
dc.description.abstract The paper introduces I3DermoscopyApp, a new declination of the Internet of Things (IoT) paradigm, designed to allow the early detection of melanoma. Even though artificial intelligence programs cannot outperform the diagnostic accuracy of expert dermatologists yet, they reveal to be very useful in providing second opinions to physicians with short clinical experience, thus improving significantly their diagnostic performance. \ \ Following this trend, an original integration of mobile app technology and well-known image processing algorithms allows the automatic analysis of pigmented skin lesions to help physicians apply a diagnostic method (Seven Point Check List) based on dermoscopy. The web-based platform makes the physician able to: i) store digital images captured by smartphones featured with a dermatoscope; ii) measure morphological and chromatic parameters of the skin lesion; iii) make a diagnostic decision according to the Seven Point Checklist method. \ \ A detailed description of the adopted techniques, together with the first validation results are reported.
dc.format.extent 10 pages
dc.identifier.doi 10.24251/HICSS.2017.434
dc.identifier.isbn 978-0-9981331-0-2
dc.identifier.uri http://hdl.handle.net/10125/41592
dc.language.iso eng
dc.relation.ispartof Proceedings of the 50th Hawaii International Conference on System Sciences
dc.rights Attribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.uri https://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subject automatic melanoma detection
dc.subject E-health system
dc.subject Health Decision Making
dc.subject Mobile App
dc.title I3DermoscopyApp: Hacking Melanoma thanks to IoT technologies
dc.type Conference Paper
dc.type.dcmi Text
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