Detection of granularity in dermoscopy images of malignant melanoma using color and texture features

Computerized Medical Imaging and Graphics

Volumn 35, Issue 2, 2011, Pages 144-147

  Stoecker, William V ^a   Wronkiewiecz, Mark ^a   Chowdhury, Raeed ^a   Stanley, R Joe ^b   Xu, Jin ^a   Bangert, Austin ^b   Shrestha, Bijaya ^b   Calcara, David A ^a   Rabinovitz, Harold S ^c   Oliviero, Margaret ^c   Ahmed, Fatimah ^d   Perry, Lindall A ^e   Drugge, Rhett ^f  

^a Stoecker and Associates   (United States)

^b Architectural and Environmental Engineering   (United States)

^c SKIN AND CANCER ASSOCIATES   (United States)

^d Rolla High School   (United States)

^e Columbia Dermatology and Mohs Skin Cancer Surgery ^*  (United States)

^f Sheard and Drugge   (United States)

Author keywords

Dermoscopy; Granular; Granularity; Image analysis; Melanoma; Texture

Indexed keywords

AREA FEATURE; BENIGN LESION; COLOR AND TEXTURE FEATURES; DERMOSCOPY; DERMOSCOPY IMAGES; FEATURE SETS; GRANULAR; GRANULARITY; IN-SITU; INVERSE DIFFERENCES; MALIGNANT MELANOMA; MELANOMA; RECEIVER OPERATING CHARACTERISTIC CURVE ANALYSIS; RECEIVER OPERATING CHARACTERISTIC CURVES; RELATIVE COLOR; SKIN LESION; STATISTICAL ANALYSIS; TEXTURE ENERGY; TWO-COLOR;

COLOR; DIAGNOSIS; IMAGE ANALYSIS; ONCOLOGY; TEXTURES;

DERMATOLOGY;

ARTICLE; BENIGN SKIN TUMOR; COLOR; COLORIMETRY; DIAGNOSTIC ACCURACY; ENERGY; ENTROPY; EPILUMINESCENCE MICROSCOPY; HUMAN; IMAGE ANALYSIS; IMAGE QUALITY; LUMINANCE; MELANOMA; PRIORITY JOURNAL;

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

EID: 79951508415     PISSN: 08956111     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.compmedimag.2010.09.005     Document Type: Article

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