I3DermoscopyApp: Hacking Melanoma thanks to IoT technologies

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Fältnamn	Indikatorer	Metadata
000		02767naa a2200361 4500
001		oai:DiVA.org:miun-33326
003		SwePub
008		180322s2017 \| \|\|\|\|\|\|\|\|\|\|\|000 \|\|eng\|
024	7	a https://urn.kb.se/resolve?urn=urn:nbn:se:miun:diva-333262 URI
024	7	a https://doi.org/10.24251/HICSS.2017.4342 DOI
040		a (SwePub)miun
041		a engb eng
042		9 SwePub
072	7	a ref2 swepub-contenttype
072	7	a kon2 swepub-publicationtype
100	1	a Di Leo, Giuseppeu Univ. of Salerno4 aut
245	1 0	a I3DermoscopyApp: Hacking Melanoma thanks to IoT technologies
264	1	c 2017
338		a electronic2 rdacarrier
520		a 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.
650	7	a TEKNIK OCH TEKNOLOGIERx Elektroteknik och elektronik0 (SwePub)2022 hsv//swe
650	7	a ENGINEERING AND TECHNOLOGYx Electrical Engineering, Electronic Engineering, Information Engineering0 (SwePub)2022 hsv//eng
700	1	a Liguori, Consolatinau Univ. of Salerno4 aut0 (Swepub:miun)conlig
700	1	a Pietrosanto, Antoniou Univ. of Salerno4 aut
700	1	a Sommella, Paolou Univ. of Salerno4 aut
700	1	a Paciello, Vincenzou Univ. of Cassino4 aut
710	2	a Univ. of Salernob Univ. of Cassino4 org
773	0	t Proceedings of the 50th Hawaii International Conference on System Sciences 2017g , s. 3587-3596q <3587-3596z 9780998133102
856	4	u https://doi.org/10.24251/HICSS.2017.434y Fulltext
856	4	u http://hdl.handle.net/10125/41592
856	4	u https://miun.diva-portal.org/smash/get/diva2:1192278/FULLTEXT01.pdfx primaryx Raw objecty fulltext:print
856	4 8	u https://urn.kb.se/resolve?urn=urn:nbn:se:miun:diva-33326
856	4 8	u https://doi.org/10.24251/HICSS.2017.434

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