Approximate lesion localization in dermoscopy images

Skin Research and Technology

Volumn 15, Issue 3, 2009, Pages 314-322

  Celebi, Emre M ^a   Iyatomi, Hitoshi ^b   Schaefer, Gerald ^c   Stoecker, William V ^d  

^a LOUISIANA STATE UNIVERSITY   (United States)

^b HOSEI UNIVERSITY   (Japan)

^c ASTON UNIVERSITY   (United Kingdom)

^d Stoecker and Associates   (United States)

Author keywords

Border Detection; Dermoscopy; Skin Cancer; Thresholding

Indexed keywords

AUTOMATED ANALYSIS; BORDER DETECTION; DERMOSCOPY; DERMOSCOPY IMAGES; GROUND TRUTH; IMAGING MODALITY; ITERATIVE ALGORITHM; LOCALIZATION ERRORS; LOCALIZATION METHOD; PIGMENTED SKIN LESIONS; PRE-PROCESSING STEP; RESEARCH AREAS; SKIN CANCER; THRESHOLDING; THRESHOLDING ALGORITHMS;

SKIN;

ALGORITHM; ARTICLE; CALCULATION; DIAGNOSTIC ACCURACY; DIAGNOSTIC ERROR; EPILUMINESCENCE MICROSCOPY; IMAGE ANALYSIS; IMAGE QUALITY; INTERMETHOD COMPARISON; SKIN DEFECT;

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

EID: 67650663171     PISSN: 0909752X     EISSN: 16000846     Source Type: Journal    
DOI: 10.1111/j.1600-0846.2009.00357.x     Document Type: Article

References (25)

1. Jemal A, Siegel R, Ward E et al. Cancer statistics, 2008. CA Cancer J Clin 2008; 58: 71-96.
2. Argenziano G, Soyer HP, De Giorgi V et al. Dermoscopy: A tutorial. Milan, Italy: EDRA Medical Publishing & New Media, 2002.
3. Steiner K, Binder M, Schemper M et al. Statistical evaluation of epiluminescence dermoscopy criteria for melanocytic pigmented lesions. J Am Acad Dermatol 1993; 29: 581-588.
4. 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; 131: 286-291.
5. Fleming MG, Steger C, Zhang J et al. Techniques for a structural analysis of dermatoscopic imagery. Comput Med Imaging Graph 1998; 22: 375-389.
6. Schmid P. Segmentation of digitized dermatoscopic images by two-dimensional color clustering. IEEE Trans Med Imaging 1999; 18: 164-171.
7. Erkol B, Moss RH, Stanley RJ, Stoecker WV, Hvatum E. Automatic lesion boundary detection in dermoscopy images using gradient vector flow snakes. Skin Res Technol 2005; 11: 17-26.
8. Iyatomi H, Oka H, Saito M et al. Quantitative assessment of tumor extraction from dermoscopy images and evaluation of computer-based extraction methods for automatic melanoma diagnostic system. Melanoma Res 2006; 16: 183-190.
9. Celebi ME, Aslandogan YA, Stoecker WV et al. Unsupervised border detection in dermoscopy images. Skin Res Technol 2007; 13: 454-462.
10. Celebi ME, Kingravi HA, Iyatomi H et al. Border detection in dermoscopy images using statistical region merging. Skin Res Technol 2008; 14: 347-353.
11. Lee TK, Ng V, Gallagher R et al. Dullrazor: A software approach to hair removal from images. Comput Biol Med 1997; 27: 533-543.
12. Zhou H, Chen M, Gass R et al. Feature-preserving artifact removal from dermoscopy images. Proc SPIE Medical Imaging 2008 Conf., 6914: 1B1-1B9.
13. Levkowitz H, Herman GT. GLHS: A generalized lightness, hue, and saturation color model. CVGIP: Graphic Models Image Process 1993; 55: 271-285.
14. Stoecker WV, Gupta K, Stanley RJ et al. Detection of asymmetric blotches in dermoscopy images of malignant melanoma using relative color. Skin Res Technol 2005; 11: 179-184.
15. Celebi ME, Iyatomi H, Stoecker WV et al. Automatic detection of blue-white veil and related structures in dermoscopy images. Comput Med Imaging Graph 2008; 32: 670-677.
16. Melgani F. Robust image binarization with ensembles of thresholding algorithms. J Electronic Imaging 2006; 15: 023010.
17. Sezgin M, Sankur B. Survey over image thresholding techniques and quantitative performance evaluation. J Electronic Imaging 2004; 13: 146-165.
18. Otsu N. A threshold selection method from gray level histograms. IEEE Trans Syst Man Cybern 1979; 9: 62-66.
19. Kapur JN, Sahoo PK, Wong AKC. A new method for gray-level picture thresholding using the entropy of the histogram. Graphic Models Image Process 1985; 29: 273-285.
20. Huang L-K, Wang M-JJ. Image thresholding by minimizing the measures of fuzziness. Pattern Recognition 1995; 28: 41-51.
21. Yen JC, Chang FJ, Chang S. A new criterion for automatic multilevel thresholding. IEEE Trans Image Process 1995; 4: 370-378.
22. Sahoo PK, Wilkins C, Yeager J. Threshold selection using renyi's entropy. Pattern Recognition 1997; 30: 71-84.
23. Li CH, Tam PKS. An iterative algorithm for minimum cross entropy thresholding. Pattern Recognition Lett 1998; 18: 771-776.
24. Hance GA, Umbaugh SE, Moss RH, Stoecker WV. Unsupervised color image segmentation with application to skin tumor borders. IEEE Eng Med Biol 1996; 15: 104-111.
25. Li HC. A generalized problem of least squares. Am Math Month 1984; 91: 135-137.