Automated skin lesion assessment using mobile technologies and cloud platforms.

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dc.contributor.authorDoukas, Charalampos
dc.contributor.authorStagkopoulos, Paris
dc.contributor.authorKiranoudis, Chris T
dc.contributor.authorMaglogiannis, Ilias
dc.date.accessioned2020-02-06T17:12:37Z
dc.date.available2020-02-06T17:12:37Z
dc.date.issued2013-01-31
dc.description.abstractThis paper presents a smart phone based system for storing digital images of skin areas depicting regions of interest lesions and performing self assessment of these skin lesions within these areas The system consists of a mobile application that can acquire and identify moles in skin images and classify them according their severity into melanoma nevus and benign lesions The proposed system includes also a cloud infrastructure exploiting computational and storage resources This cloud based architecture provides interoperability and support of various mobile environments as well as flexibility in enhancing the classification model Initial evaluation results are quite promising and indicate that the application can be used for the task of skin lesions initial assessment
dc.identifier.urihttp://dx.doi.org/10.1109/EMBC.2012.6346458
dc.identifier.urihttps://lib.digitalsquare.io/xmlui/handle/123456789/4769
dc.relation.uriConference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference
dc.titleAutomated skin lesion assessment using mobile technologies and cloud platforms.en
dcterms.abstractThis paper presents a smart phone based system for storing digital images of skin areas depicting regions of interest lesions and performing self assessment of these skin lesions within these areas The system consists of a mobile application that can acquire and identify moles in skin images and classify them according their severity into melanoma nevus and benign lesions The proposed system includes also a cloud infrastructure exploiting computational and storage resources This cloud based architecture provides interoperability and support of various mobile environments as well as flexibility in enhancing the classification model Initial evaluation results are quite promising and indicate that the application can be used for the task of skin lesions initial assessment
dcterms.contributorDoukas, Charalampos
dcterms.contributorStagkopoulos, Paris
dcterms.contributorKiranoudis, Chris T
dcterms.contributorMaglogiannis, Ilias
dcterms.identifierhttp://dx.doi.org/10.1109/EMBC.2012.6346458
dcterms.relationConference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference
dcterms.titleAutomated skin lesion assessment using mobile technologies and cloud platforms.en
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