A methodological approach to the classification of dermoscopy images

Computerized Medical Imaging and Graphics

Volumn 31, Issue 6, 2007, Pages 362-373

  Celebi, M Emre ^a   Kingravi, Hassan A ^a   Uddin, Bakhtiyar ^a   Iyatomi, Hitoshi ^d   Aslandogan, Y Alp ^a   Stoecker, William V ^b   Moss, Randy H ^c  

^a The University of Texas at Arlington   (United States)

^b Stoecker and Associates   (United States)

^c Architectural and Environmental Engineering   (United States)

^d HOSEI UNIVERSITY   (Japan)

Author keywords

Classification; Dermoscopy; Melanoma; Model selection; Skin cancer; Support vector machine

Indexed keywords

DERMOSCOPY; EUCLIDEAN DISTANCE; MODEL SELECTION; SKIN CANCER;

ALGORITHMS; CLASSIFICATION (OF INFORMATION); EXTRACTION; MEDICAL IMAGING; SKIN; SUPPORT VECTOR MACHINES;

DERMATOLOGY;

ALGORITHM; AREA UNDER THE CURVE; ARTICLE; AUTOMATION; BORDER DETECTION; CLASSIFICATION; DIAGNOSTIC ACCURACY; DIAGNOSTIC IMAGING; DIAGNOSTIC PROCEDURE; EPILUMINESCENCE MICROSCOPY; EUCLIDEAN DISTANCE TRANSFORM; IMAGE ANALYSIS; IMAGE PROCESSING; IMAGE QUALITY; IMAGING SYSTEM; MELANOMA; METHODOLOGY; MONTE CARLO METHOD; PRIORITY JOURNAL; ROC CURVE; SENSITIVITY AND SPECIFICITY; SKIN DISEASE; SKIN PIGMENTATION; SUPPORT VECTOR MACHINE; TECHNIQUE;

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

EID: 34447251296     PISSN: 08956111     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.compmedimag.2007.01.003     Document Type: Article

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