Computer-aided pattern classification system for dermoscopy images

Skin Research and Technology

Volumn 18, Issue 3, 2012, Pages 278-289

  Abbas, Qaisar ^a   Emre Celebi, M ^b   Fondón, Irene ^c  

^a NATIONAL TEXTILE UNIVERSITY   (Pakistan)

^b Louisiana State University   (United States)

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

Author keywords

Computer aided diagnosis; Dermoscopy; Melanoma; Pattern recognition; Texture analysis

Indexed keywords

CLASSIFICATION SYSTEM; CLINICAL DIAGNOSIS; COLOR AND TEXTURE FEATURES; COLOR SPACE; COMPUTER-AIDED PATTERN; DERMOSCOPY; DERMOSCOPY IMAGES; MALIGNANT LESION; MELANOMA; MULTI-CLASS SUPPORT VECTOR MACHINES; PATTERN CLASSIFIER; PCS SYSTEM; PIGMENTED SKIN LESIONS; PRE-PROCESSING; RECEIVER OPERATING CHARACTERISTICS; TEXTURE ANALYSIS; TEXTURE PROPERTIES;

COLOR; COMPUTER AIDED DIAGNOSIS; CONCRETE BEAMS AND GIRDERS; DERMATOLOGY; ONCOLOGY; PATTERN RECOGNITION; PATTERN RECOGNITION SYSTEMS; TEXTURES; TUMORS;

IMAGE TEXTURE;

ADULT; ARTICLE; BASAL CELL CARCINOMA; CANCER CLASSIFICATION; COMPUTER AIDED DESIGN; CONGENITAL NEVUS; EPILUMINESCENCE MICROSCOPY; ESTHETIC SURGERY; FEMALE; HUMAN; IMAGE ANALYSIS; MAJOR CLINICAL STUDY; MALE; MELANOMA; NEVUS; SEBORRHEIC KERATOSIS; SENSITIVITY AND SPECIFICITY; SUPPORT VECTOR MACHINE; TUMOR VOLUME;

ADULT; AGED, 80 AND OVER; ARTIFICIAL INTELLIGENCE; DERMOSCOPY; FEMALE; HUMANS; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MALE; MIDDLE AGED; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SKIN NEOPLASMS;

EID: 84863537254     PISSN: 0909752X     EISSN: 16000846     Source Type: Journal    
DOI: 10.1111/j.1600-0846.2011.00562.x     Document Type: Article

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