Detection of asymmetric blotches (asymmetric structureless areas) in dermoscopy images of malignant melanoma using relative color

Skin Research and Technology

Volumn 11, Issue 3, 2005, Pages 179-184

  Stoecker, William V ^a,b   Gupta, Kapil ^c   Stanley, R Joe ^c   Moss, Randy H ^c   Shrestha, Bijaya ^b  

^a The Dermatology Center   (United States)

^b UNIVERSITY OF MISSOURI   (United States)

^c University of Missouri Rolla   (United States)

Author keywords

Asymmetric blotches; Dermoscopy; Dysplastic nevi; Image analysis; Melanoma; Structureless areas

Indexed keywords

COLOR; DIAGNOSIS; FEATURE EXTRACTION; IMAGE ANALYSIS; LUMINESCENCE; NEURAL NETWORKS; PIGMENTS; SENSITIVITY ANALYSIS; STATISTICAL METHODS;

ASYMMETRIC BLOTCHES; BLOTCH DETECTION METHODS; DERMOSCOPY; EPILUMINESCENCE MICROSCOPY (ELM);

DERMATOLOGY;

ARTICLE; ARTIFICIAL NEURAL NETWORK; COLOR; DIAGNOSTIC ACCURACY; DIFFERENTIAL DIAGNOSIS; DYSPLASTIC NEVUS; EPILUMINESCENCE MICROSCOPY; HUMAN; IMAGE ANALYSIS; IN VIVO STUDY; MAJOR CLINICAL STUDY; MELANOCYTE; MELANOMA; NON INVASIVE MEASUREMENT; RECEIVER OPERATING CHARACTERISTIC; SENSITIVITY AND SPECIFICITY; SKIN BIOPSY; SKIN DEFECT; SKIN EXAMINATION; STATISTICAL ANALYSIS;

COLOR; DERMOSCOPY; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; MELANOMA; MODELS, STATISTICAL; NEURAL NETWORKS (COMPUTER); SKIN NEOPLASMS;

EID: 22244441131     PISSN: 0909752X     EISSN: None     Source Type: Journal    
DOI: 10.1111/j.1600-0846.2005.00117.x     Document Type: Article

References (13)

1. Jemal A, Tiwari RC, Murray T et al. Cancer statistics 2004. CA Cancer J Clin 2004; 54: 8-29.
2. Nachbar F, Stolz W, Merkle T et al. The ABCD rule of dermatoscopy. High prospective value in the diagnosis of doubtful melanocytic skin lesions. J Am Acad Dermatol 1994; 30: 551-559.
3. Binder M, Schwarz M, Winkler A et al. Epiluminescence microscopy: a useful tool for the diagnosis of pigmented skin lesions for formally trained dermatologists. Arch Dermatol 1995; 13: 286-291.
4. Argenziano G, Fabbrocini G, Carli P, De Giorgi V, Sammarco E, Delfino M. Epiluminescence microscopy for the diagnosis of doubtful melanocytic skin lesions: comparison of the ABCD rule of dermatoscopy and a new 7-point checklist based on pattern analysis. Arch Dermatol 1998; 134: 1563-1570.
5. Argenziano G, Soyer HP, Chimenti S, Talamini R, Corona R, Sera F et al. Dermoscopy of pigmented skin lesions: results of a consensus meeting via the Internet. J Am Acad Dermatol 2003; 48: 679-693.
6. Rubegni P, Burroni M, Cevenini G, Perotti R, Dell'Eva G, Barbini P et al. Digital dermoscopy analysis and artificial neural network for the differentiation of clinically atypical pigmented skin lesions: a retrospective study. J Invest Dermatol 2002; 119: 471-474.
7. Stolz W, Braun-Falco O, Bilek P, Landthaler M, Cognetta A. Color atlas of dermatoscopy. London: Blackwell Science Ltd, 1994.
8. Menzies SW, Crotty KA, Ingvar C, McCarthy WH. An atlas of surface microscopy of pigmented skin lesions: dermoscopy, 2nd edn. Sydney: McGraw-Hill Companies, Inc., 1996.
9. Stoecker WV, Moss R, Perednia DA, Umbaugh SE, Ercal F Visible-light digital imaging in dermatology. In: Stoecker WV, ed Computer applications in dermatology. New York: Igaku-Shoin, 1993: 100-102.
10. Argenziano G, Soyer HP, De Giorgi V et al. Interactive atlas of dermoscopy. Milan, Italy: EDRA Medical Publishing, 2000.
11. Erkol B, Moss RH, Stanley RJ, Stoecker WV, Hvatum E. Automatic lesion boundary detection in dermoscopy images using gradient vector flow snakes. Skin Research and Technology 2004; 11: 17-26.
12. Pagadala P. Tumor border detection in epiluminescence microscopy images. M. S. Thesis, Department of Electrical Engineering, University of Missouri-Rolla.
13. Pellacani G, Grana C, Cucchiara R, Seidenari S. Automated extraction and description of dark areas in surface microscopy melanocytic lesion images. Dermatology 2004; 208: 21-26.