Detection of atypical texture features in early malignant melanoma

Skin Research and Technology

Volumn 16, Issue 1, 2010, Pages 60-65

  Shrestha, Bijaya ^a   Bishop, Joseph ^a   Kam, Keong ^a   Chen, Xiaohe ^a   Moss, Randy H ^a   Stoecker, William V ^b,c   Umbaugh, Scott ^d   Stanley, R Joe ^a   Celebi, M Emre ^e   Marghoob, Ashfaq A ^f   Argenziano, Giuseppe ^g   Soyer, H Peter ^h  

^a Architectural and Environmental Engineering   (United States)

^b Stoecker and Associates   (United States)

^c UNIVERSITY OF MISSOURI   (United States)

^d SOUTHERN ILLINOIS UNIVERSITY EDWARDSVILLE   (United States)

^e LOUISIANA STATE UNIVERSITY   (United States)

^f MEMORIAL SLOAN KETTERING CANCER CENTER   (United States)

^g SECOND UNIVERSITY OF NAPLES   (Italy)

^h UNIVERSITY OF QUEENSLAND   (Australia)

Author keywords

Dermoscopy; Image analysis; Melanoma; Pigment network; Texel; Texture

Indexed keywords

AUTOMATIC DETECTION; DERMOSCOPY; DERMOSCOPY IMAGES; DISCRIMINATION ACCURACY; DYSPLASTIC NEVI; IMAGE ANALYSIS SYSTEMS; MALIGNANT MELANOMA; MELANOCYTIC LESION; PIXEL SPACING; TEXTURE ANALYSIS; TEXTURE FEATURES;

DERMATOLOGY; DIAGNOSIS; IMAGE ANALYSIS; ONCOLOGY; PIXELS;

TEXTURES;

ARTICLE; CLINICAL FEATURE; CONTROLLED STUDY; CUTANEOUS PARAMETERS; DYSPLASTIC NEVUS; EPILUMINESCENCE MICROSCOPY; HUMAN; IMAGE ANALYSIS; IMAGE DISPLAY; MAJOR CLINICAL STUDY; MELANOMA; SKIN EXAMINATION; SKIN PIGMENTATION; TUMOR CLASSIFICATION;

CARCINOMA IN SITU; DATABASES, FACTUAL; DERMOSCOPY; DIAGNOSIS, DIFFERENTIAL; DYSPLASTIC NEVUS SYNDROME; EARLY DIAGNOSIS; HUMANS; HUTCHINSON'S MELANOTIC FRECKLE; IMAGE PROCESSING, COMPUTER-ASSISTED; MELANOMA; REPRODUCIBILITY OF RESULTS; SKIN NEOPLASMS;

EID: 73549091692     PISSN: 0909752X     EISSN: 16000846     Source Type: Journal    
DOI: 10.1111/j.1600-0846.2009.00402.x     Document Type: Article

References (15)

1. Argenziano G, Soyer HP, Chimenti S. Dermoscopy of pigmented skin lesions: results of a consensus meeting via the Internet. J Am Acad Dermatol 2003, 48:679-693.
2. Binder M, Schwarz M, Winkler A. Epiluminescence microscopy: a useful tool for the diagnosis of pigmented skin lesions for formally trained dermatologists. Arch Dermatol 1995, 13:286-291.
3. Haralick RM, Shanmugam K, Dinstein I. Textural features for image classification. IEEE Trans Syst, Man, Cybern 1973, SMC-3:610-621.
4. Umbaugh S. http://www.ee.siue.edu/CVIPtools, CVIPtools, a software package for the exploration of computer vision and image processing. Available at, (accessed November 13, 2007)
5. Argenziano G, Soyer HP, De Giorgi V. Interactive atlas of dermoscopy 2000, Milan, Italy, EDRA Medical Publishing
6. Witten IH, Frank E. Data mining: practical machine learning tools and techniques 2005, San Francisco, Morgan Kaufmann
7. Frank E, Hall M, Trigg L. http://www.cs.waikato.ac.nz/ml/weka/, Weka. Available at, (accessed June 19 2007)
8. Stoecker WV, Chiang CS, Moss RH. Texture in skin images: comparison of three methods to determine smoothness. Comput Med Imag Graph 1992, 16:179-190.
9. Harris DE. Texture analysis of skin cancer images. PhD dissertation, Department of Electrical Engineering, University of Missouri - Rolla, Rolla, MO, 1994
10. Manousaki AG, Manios AG, Tsompanaki EI, Tosca AD. Use of color texture in determining the nature of melanocytic skin lesions-a qualitative and quantitative approach. Comput Biol Med 2006, 36:419-427.
11. Anantha M, Moss RH, Stoecker WV. Detection of pigment network in dermatoscopy images using texture analysis. Comput Med Imaging Graph 2004, 28:225-234.
12. Chang J-C. Computer vision techniques for texture analysis in skin cancer diagnosis. MS thesis, Department of Electrical Engineering, University of Missouri - Rolla, Rolla, MO, 1992
13. Cheng Y-T. Texture classification for skin tumor images using the adaptive wavelet packets transform MS thesis, Department of Electrical Engineering, University of Missouri - Rolla, Rolla, MO, 1994
14. Wollina U, Burroni M, Torricelli R, Gilardi S, Dell'Eva G, Helm C, Bardey W. Digital dermoscopy in clinical practise: a three-centre analysis. Skin Res Technol 2007, 13:133-142.
15. Deshabhoina SV, Umbaugh SE, Stoecker WV, Moss RH, Srinivasan SK. Melanoma and seborrheic keratosis differentiation using texture features. Skin Res Technol 2003, 9:348-356.