A systematic heuristic approach for feature selection for melanoma discrimination using clinical images

Skin Research and Technology

Volumn 11, Issue 3, 2005, Pages 165-178

  Chang, Ying ^a   Stanley, R Joe ^b   Moss, Randy H ^b   Van Stoecker, William ^c  

^a University of Missouri Rolla ^*  (United States)

^b University of Missouri Rolla   (United States)

^c Stoecker and Associates   (United States)

Author keywords

Color analysis; Image analysis; Malignant melanoma; Skin lesion

Indexed keywords

ALGORITHMS; COLOR; CORRELATION METHODS; DERMATOLOGY; ERROR CORRECTION; EXPERT SYSTEMS; HEURISTIC METHODS; MEDICAL IMAGING; SKIN; STATISTICAL METHODS;

CLINICAL IMAGES; COLOR VARIEGATION; EXPERT SYSTEM ANALYSIS; FEATURE SELECTION METHODS;

FEATURE EXTRACTION;

ARTICLE; AUTOMATION; BASAL CELL CARCINOMA; CLINICAL FEATURE; CORRELATION ANALYSIS; DERMATOLOGY; DIAGNOSTIC ERROR; DIAGNOSTIC PROCEDURE; DIAGNOSTIC VALUE; DIFFERENTIAL DIAGNOSIS; DISEASE CLASSIFICATION; DYSPLASTIC NEVUS; HISTOGRAM; HUMAN; IMAGE ANALYSIS; MEDICAL RESEARCH; MELANOMA; SEBORRHEIC KERATOSIS; SKIN COLOR; SKIN EXAMINATION; STATISTICAL ANALYSIS; VASCULAR LESION;

CARCINOMA, BASAL CELL; HUMANS; IMAGE INTERPRETATION, COMPUTER-ASSISTED; KERATOSIS; MELANOMA; MODELS, STATISTICAL; NEVUS; SKIN NEOPLASMS;

EID: 22244436258     PISSN: 0909752X     EISSN: None     Source Type: Journal    
DOI: 10.1111/j.1600-0846.2005.00116.x     Document Type: Article

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