Concentric decile segmentation of white and hypopigmented areas in dermoscopy images of skin lesions allows discrimination of malignant melanoma

Computerized Medical Imaging and Graphics

Volumn 35, Issue 2, 2011, Pages 148-154

  Dalal, Ankur ^a   Moss, Randy H ^a   Stanley, R Joe ^a   Stoecker, William V ^b   Gupta, Kapil ^a   Calcara, David A ^b   Xu, Jin ^b   Shrestha, Bijaya ^a   Drugge, Rhett ^c   Malters, Joseph M ^d   Perry, Lindall A ^e  

^a University of Missouri Rolla   (United States)

^b Stoecker and Associates   (United States)

^c 127 Emerson Electric Company Hall ^*  (United States)

^d The Dermatology Center   (United States)

^e Missouri University of Science and Technology ^*  (United States)

Author keywords

Dermoscopy; Dysplastic nevi; Image analysis; Melanoma; Regression; White area

Indexed keywords

DERMOSCOPY; DYSPLASTIC NEVI; MELANOMA; REGRESSION; WHITE AREA;

DERMATOLOGY; IMAGE ANALYSIS; IMAGE SEGMENTATION; MULTIVARIANT ANALYSIS; ONCOLOGY; VISUALIZATION;

NEURAL NETWORKS;

ARTICLE; ARTIFICIAL NEURAL NETWORK; BACK PROPAGATION; CANCER DIAGNOSIS; DIAGNOSTIC ACCURACY; DISPERSION; EPILUMINESCENCE MICROSCOPY; IMAGE ANALYSIS; IMAGE QUALITY; MELANOMA; PRIORITY JOURNAL;

ALGORITHMS; DERMOSCOPY; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; LUMINESCENT MEASUREMENTS; MELANOMA; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SKIN NEOPLASMS;

EID: 79951510449     PISSN: 08956111     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.compmedimag.2010.09.009     Document Type: Article

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