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SKINcure: A Real Time Image Analysis System to Aid in the Malignant Melanoma Prevention and Early Detection

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dc.contributor.author Abuzaghleh, Omar en_US
dc.contributor.author Barkana, Buket D. en_US
dc.contributor.author Faezipour, Miad en_US
dc.date.accessioned 2014-07-16T16:44:55Z
dc.date.available 2014-07-16T16:44:55Z
dc.date.issued 2014-03-28 en_US
dc.identifier.uri https://scholarworks.bridgeport.edu/xmlui/handle/123456789/583
dc.description.abstract Skin cancer (melanoma) incidence rates have been increasing for the past three decades. The most important risk factors for Melanoma skin cancer are unprotected exposure to UV radiation, and growing melanoma-type moles. However, early diagnosis of malignant melanoma increases the chances for cure significantly. Therefore a real time image analysis system to aid in the malignant melanoma prevention and early detection is highly in-demand. In this poster, we propose a portable real time image analysis system to aid in the malignant melanoma prevention and early detection. We present an image recognition technique, where the user will be able to capture skin images of different mole types. Our system will analyze and process the images and alert the user at real - time to seek medical help urgently. en_US
dc.language.iso en_US en_US
dc.subject Engineering en_US
dc.subject Faculty research day en_US
dc.subject Malignant melanoma en_US
dc.subject Image analysis en_US
dc.title SKINcure: A Real Time Image Analysis System to Aid in the Malignant Melanoma Prevention and Early Detection en_US
dc.type Presentation en_US
dc.institute.department School of Engineering en_US
dc.institute.name University of Bridgeport en_US
dc.event.location Bridgeport, CT en_US
dc.event.name Faculty Research Day en_US


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