Automated skin lesion analysis based on color and shape geometry feature set for melanoma early detection and prevention

2014 IEEE Long Island Systems, Applications and Technology Conference, LISAT 2014

Volumn , Issue , 2014, 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

COLOR; CURING; DIAGNOSIS; GEOMETRY; IMAGE SEGMENTATION; ONCOLOGY;

DERMOSCOPY IMAGES; IMAGE DATABASE; INCIDENCE RATE; MALIGNANT MELANOMA; MELANOMA; NOTCHED EDGES; SHAPE GEOMETRY; SKIN CANCERS;

DERMATOLOGY;

EID: 84904438411     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/LISAT.2014.6845199     Document Type: Conference Paper

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