Noninvasive real-time automated skin lesion analysis system for melanoma early detection and prevention

IEEE Journal of Translational Engineering in Health and Medicine

Volumn 3, Issue , 2015, Pages

  Abuzaghleh, Omar ^a   Barkana, Buket D ^a   Faezipour, Miad ^a  

^a University of Bridgeport   (United States)

Author keywords

image segmentation; melanoma; skin cancer

Indexed keywords

AUTOMATION; DIAGNOSIS; DISEASES; FEATURE EXTRACTION; IMAGE ACQUISITION; IMAGE SEGMENTATION; ONCOLOGY; PATIENT TREATMENT;

AUTOMATED IMAGE ANALYSIS; CLINICAL DIAGNOSIS; DEVELOPMENT AND TESTING; LESION SEGMENTATIONS; MALIGNANT MELANOMA; MELANOMA; SKIN CANCERS; STATISTICAL EVIDENCE;

DERMATOLOGY;

ARTICLE; AUTOMATION; CANCER CLASSIFICATION; CANCER PREVENTION; CLASSIFICATION ALGORITHM; DATA BASE; DERMATOLOGICAL EQUIPMENT; DERMOSCOPE; DIAGNOSTIC ACCURACY; DIAGNOSTIC IMAGING; EARLY DIAGNOSIS; EPILUMINESCENCE MICROSCOPY; FOURIER TRANSFORMATION; HAIR; HUMAN; IMAGE ANALYSIS; IMAGE PROCESSING; INTERNET; MELANOMA; MICROSCOPE; MOBILE APPLICATION; MOBILE PHONE; NON INVASIVE PROCEDURE; NONINVASIVE REAL TIME AUTOMATED SKIN LESION ANALYSIS SYSTEM; SUNBURN; SUNLIGHT;

EID: 84928404914     PISSN: None     EISSN: 21682372     Source Type: Journal    
DOI: 10.1109/JTEHM.2015.2419612     Document Type: Article

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