Melanoma recognition framework based on expert definition of ABCD for dermoscopic images

Skin Research and Technology

Volumn 19, Issue 1, 2013, Pages

  Abbas, Qaisar ^a,b   Emre Celebi, M ^c   Garcia, Irene Fondón ^d   Ahmad, Waqar ^a,b  

^a NATIONAL TEXTILE UNIVERSITY   (Pakistan)

^b Center for Biomedical imaging and Bioinformatics   (Pakistan)

^c Louisiana State University   (United States)

^d School of Engineering Path of Discovery s n   (Spain)

Author keywords

ABCD criteria; Computer aided diagnostic; Dermoscopy; Melanoma; Pattern recognition

Indexed keywords

ABCD CRITERIA; BENIGN LESION; CAD SYSTEM; CLASSIFICATION ACCURACY; CLINICAL DIAGNOSIS; COLOR SPACE; COMPUTER AIDED DIAGNOSTICS; CONTEXTUAL INFORMATION; DERMOSCOPY; DERMOSCOPY IMAGES; EXTRACTING FEATURES; FEATURE SELECTION AND CLASSIFICATION; MELANOMA; PATTERN RECOGNITION TECHNIQUES; PIGMENTED SKIN LESIONS; RECEIVER OPERATING CHARACTERISTICS; RECOGNITION SYSTEMS; VISUAL INSPECTION;

DERMATOLOGY; ONCOLOGY; PATTERN RECOGNITION; TUMORS;

COMPUTER AIDED DIAGNOSIS;

AREA UNDER THE CURVE; ARTICLE; ARTIFACT; BENIGN TUMOR; BLUE NEVUS; COMPUTER AIDED DESIGN; DERMATOLOGIST; DIAGNOSTIC ACCURACY; DIFFERENTIAL DIAGNOSIS; EPILUMINESCENCE MICROSCOPY; HUMAN; MAJOR CLINICAL STUDY; MALIGNANT NEOPLASTIC DISEASE; MELANOMA; MELANOMA RECOGNITION SYSTEM; NEVUS; PATTERN RECOGNITION; QUANTITATIVE ANALYSIS; RECEIVER OPERATING CHARACTERISTIC; SENSITIVITY AND SPECIFICITY; SKIN COLOR; TUMOR CLASSIFICATION;

ALGORITHMS; ARTIFACTS; COLOR; DATABASES, FACTUAL; DERMOSCOPY; DIAGNOSIS, COMPUTER-ASSISTED; DIAGNOSIS, DIFFERENTIAL; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; MELANOMA; MODELS, BIOLOGICAL; NEVUS, BLUE; NEVUS, EPITHELIOID AND SPINDLE CELL; NEVUS, PIGMENTED; SENSITIVITY AND SPECIFICITY; SKIN NEOPLASMS;

EID: 84872167758     PISSN: 0909752X     EISSN: 16000846     Source Type: Journal    
DOI: 10.1111/j.1600-0846.2012.00614.x     Document Type: Article

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