Segmentation of skin lesions from digital images using joint statistical texture distinctiveness

IEEE Transactions on Biomedical Engineering

Volumn 61, Issue 4, 2014, Pages 1220-1230

  Glaister, Jeffrey ^a   Wong, Alexander ^b   Clausi, David A ^b  

^a Johns Hopkins University   (United States)

^b UNIVERSITY OF WATERLOO   (Canada)

Author keywords

Melanoma; segmentation; skin cancer; texture

Indexed keywords

ALGORITHMS; AUTOMATION; IMAGE SEGMENTATION; ONCOLOGY; RISK ASSESSMENT; TEXTURES;

AUTOMATED SYSTEMS; CLASSIFICATION RESULTS; INCIDENCE RATE; LESION SEGMENTATIONS; MELANOMA; SEGMENTATION ACCURACY; SKIN CANCERS; TEXTURE DISTRIBUTIONS;

DERMATOLOGY;

ALGORITHM; ARTICLE; CONTROLLED STUDY; HUMAN; ILLUMINATION; MELANOMA; PHOTOGRAPHY; SKIN COLOR; SKIN DEFECT;

ALGORITHMS; DERMOSCOPY; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; MELANOMA; SKIN NEOPLASMS;

EID: 84897374395     PISSN: 00189294     EISSN: 15582531     Source Type: Journal    
DOI: 10.1109/TBME.2013.2297622     Document Type: Article

References (40)

1. N. Howlader, A. M. Noone, M. Krapcho, J. Garshell, N. Neyman, S. F. Altekruse, C. L. Kosary, M. Yu, J. Ruhl, Z. Tatalovich, H. Cho, A. Mariotto, D. R. Lewis, H. S. Chen, E. J. Feuer, and K. A. Cronin, "SEER cancer statistics review, 1975-2010," Nat. Cancer Inst., Bethesda, MD, USA, Tech. Rep., 2013
2. A. F. Jerants, J. T. Johnson, C. D. Sheridan, and T. J. Caffrey, "Early detection and treatment of skin cancer," Amer. Family Phys., vol. 62, no. 2, pp. 1-6, Jul. 2000.
3. Public Health Agency of Canada. (2013). Melanoma skin cancer. [Online]. Available: http://www.phac-aspc.gc.ca/cd-mc/cancer/melanoma skin cancer-cancer peau melanome-eng.php
4. A. Jemal, M. Saraiya, P. Patel, S. S. Cherala, J. Barnholtz-Sloan, J. Kim, C. L. Wiggins, and P. A. Wingo, "Recent trends in cutaneous melanoma incidence and death rates in the united states, 1992-2006," J. Amer. Acad. Dermatol., vol. 65, no. 5, pp. S17.e1-S17.e11, Nov. 2011.
5. K. A. Freedberg, A. C. Geller, D. R. Miller, R. A. Lew, and H. K. Koh, "Screening for malignant melanoma: A cost-effectiveness analysis," J. Amer. Acad. Dermatol., vol. 41, no. 5, pt. 1, pp. 738-745, Nov. 1999. (Pubitemid 29514030)
6. M. E. Celebi, H. A. Kingravi, B. Uddin, H. Iyatomi, Y. A. Aslandogan, W. V. Stoecker, and R. H. Moss, "A methodological approach to the clas-sication of dermoscopy images," Comput. Med. Imag. Graph., vol. 31, no. 6, pp. 362-373, Sep. 2007. (Pubitemid 47044964)
7. S. W.Menzies,L.Bischof, H.Talbot et al.,"The performanceofsolarscan: An automated dermoscopy image analysis instrument for the diagnosis of primary melanoma," Archives Dermatol., vol. 141, no. 11, pp. 1388-1396, Nov. 2005.
8. H. Iyatomi, H. Oka, M. E. Celebi, M. Hashimoto, M. Hagiwara, M. Tanaka, and K. Ogawa, "An improved internet-based melanoma screening system with dermatologist-like tumor area extraction algorithm," Comput. Med. Imag. Graph., vol. 32, no. 7, pp. 566-579, Oct 2008.
9. H. Ganster, A. Pinz, R. Rohrer, E. Wildling, M. Binder, and H. Kittler, "Automated melanoma recognition," IEEE Trans. Med. Imag., vol. 20, no. 3, pp. 233-239, Mar. 2001. (Pubitemid 32495667)
10. H. Iyatomi, M. Celebi, G. Schaefer, and M. Tanaka, "Automated color calibration method for dermoscopy images," Comput. Med. Imag. Graph., vol. 35, no. 2, pp. 89-98, Mar. 2011.
11. H. C. Engasser and E. M. Warshaw, "Dermatoscopy use by US dermatologists: A cross-sectional survey," J. Amer. Acad. Dermatol., vol. 63, no. 3, pp. 412-419, 2010.
12. P. G. Cavalcanti and J. Scharcanski, "Automated prescreening of pig-mented skin lesions using standard cameras," Comput. Med. Imag. Graph., vol. 35, no. 6, pp. 481-491, Sep. 2011.
13. J. Alcon, C. Ciuhu, W. ten Kate, A. Heinrich, N. Uzunbajakava, G. Krekels, D. Siem, and G. De Haan, "Automatic imaging system with decision support for inspection of pigmented skin lesions and melanoma diagnosis," IEEE J. Sel. Topics Signal Process., vol. 3, no. 1, pp. 14-25, Feb. 2009.
14. J. Glaister, R. Amelard, A. Wong, and D. A. Clausi, "MSIM: Multi-stage illumination modeling of dermatological photographs for illumination-corrected skin lesion analysis," IEEE Trans. Biomed. Eng., vol. 60, no. 7, pp. 1873-1883, Jul. 2013.
15. R. J. Friedman,D. S. Rigel, and A. W. Kopf, "Early diagnosisofcutaneous melanoma: Revisiting the ABCD criteria," CA: A Cancer J. Clinicians, vol. 35, no. 3, pp. 130-151, May 1985.
16. M. Celebi, H. Iyatomi, G. Schaefer, and W. V. Stoecker, "Lesion border detection in dermoscopy images," Comput. Med. Imag. Graph., vol. 33, no. 2, pp. 148-153, 2009.
17. B. Erkol, R. H. Moss, R. Joe Stanley, W. V. Stoecker, and E. Hvatum, "Automatic lesion boundary detection in dermoscopy images using gradient vector flow snakes," Skin Res. Technol., vol. 11, no. 1, pp. 17-26, 2005. (Pubitemid 40347604)
18. M. E. Celebi, H. A. Kingravi, H. Iyatomi, Y. A. Aslandogan, W. V. Stoecker, R. H. Moss, J. M. Malters, J. M. Grichnik, A. A. Marghoob, H. S. Rabinovitz, and S. W. Menzies, "Border detection in dermoscopy images using statistical region merging," Skin Res. Technol., vol. 14, no. 3, pp. 347-353, 2008.
19. G. Hance, S. Umbaugh, R. Moss, and W. Stoecker, "Unsupervised color image segmentation: with application to skin tumor borders," IEEE Eng. Med. Biology Mag., vol. 15, no. 1, pp. 104-111, Jan./Feb. 1996. (Pubitemid 126521089)
20. P. G. Cavalcanti, J. Scharcanski, and C. B. O. Lopes, "Shading attenuation in human skin color images," in Advances in Visual Computing, G. Bebis, R. Boyle, B. Parvin, D. Koracin, R. Chung, R. Hammoud, M. Hussain, T. Kar-Han, R. Crawfis, D. Thalmann, D. Kao, and L. Avila, Eds., (ser. Lecture Notes in Computer Science), vol. 6453 Heidelberg, Germany: Springer, 2010, pp. 190-198.
21. P. Cavalcanti, Y. Yari, and J. Scharcanski, "Pigmented skin lesion segmentation on macroscopic images," in Proc. 25th Int. Conf. Image Vision Comput. New Zealand., 2010, pp. 1-7.
22. P. Cavalcanti, J. Scharcanski, L. Di Persia, and D. Milone, "An ICA-based method for the segmentation of pigmented skin lesions in macroscopic images," in Proc. IEEE Annu. Int. Conf. Eng. Med. Biol. Soc., 2011, pp. 5993-5996.
23. M. Anantha, R. H. Moss, and W. V. Stoecker, "Detection of pigment network in dermatoscopy images using texture analysis," Comput. Med. Imag. Graph., vol. 28, no. 5, pp. 225-234, 2004. (Pubitemid 38891815)
24. W. V. Stoecker, C.-S. Chiang, and R. H. Moss, "Texture in skin images: Comparison of three methods to determine smoothness," Comput. Med. Imag. Graph., vol. 16, no. 3, pp. 179-190, 1992.
25. A. P. Dhawan and A. Sim, "Segmentation of images of skin lesions using color and texture information of surface pigmentation," Comput. Med. Imag. Graph., vol. 16, no. 3, pp. 163-177, 1992.
26. M. Silveira, J. Nascimento, J. Marques, A. R. S. Marcal, T. Mendonca, S. Yamauchi, J. Maeda, and J. Rozeira, "Comparison of segmentation methods for melanoma diagnosis in dermoscopy images," IEEE J. Sel. Topics Signal Process., vol. 3, no. 1, pp. 35-45, 2009.
27. C. Serrano and B. Acha, "Pattern analysis of dermoscopic images based on Markov random fields," Pattern Recog., vol. 42, no. 6, pp. 1052-1057, 2009.
28. L. Xu, M. Jackowskia, A. Goshtasby, D. Roseman, S. Bines, C. Yu, A. Dhawan, and A. Huntley, "Segmentation of skin cancer images," Image Vis. Comput., vol. 17, pp. 65-74, 1999.
29. S. Hwang and M. E. Celebi, "Texture segmentation of dermoscopy images using Gabor filters and g-means clustering," in Proc. Int. Conf. Image Process., Comput. Vision, Pattern Recog, Jul. 2010, pp. 882-886.
30. G. Peyre, "Sparse modeling of textures," J. Math. Imag. Vis., vol. 34, no. 1, pp. 17-31, 2009.
31. J.-L. Starck, M. Elad, and D. Donoho, "Image decomposition via the combination of sparse representations and a variational approach," IEEE Trans. Image Process., vol. 14, no. 10, pp. 1570-1582, Oct. 2005. (Pubitemid 41623087)
32. C. Scharfenberger, A. Wong, K. Fergani, J. S. Zelek, and D. A. Clausi, "Statistical textural distinctiveness for salient region detection in natural images," in Proc. IEEE Conf. Comput. Vis. Pattern Recog., Jun. 2013, pp. 979-986.
33. R. Nock and F. Nielsen, "Statistical region merging," IEEE Trans. Pattern Anal. Mach. Intell., vol. 26, no. 11, pp. 1452-1458, Nov 2004. (Pubitemid 40168022)
34. N.Otsu, "A threshold selection method from gray-level histograms,"IEEE Trans. Syst., Man, Cybern., vol. 9, no. 1, pp. 62-66, 1979. (Pubitemid 9413341)
35. P. Soille, Morphological Image Analysis: Principles and Applications Image Processing, 2nd ed. ed. Berlin, Germany: Springer, 2003.
36. J.-C. Terrillon, M. Shirazi, H. Fukamachi, and S. Akamatsu, "Comparative performance of different skin chrominance models and chrominance spaces for the automatic detection of human faces in color images," in Proc. 4th IEEE Int. Conf. Autom. Face Gesture Recog., 2000, pp. 54-61.
37. A. K. Jain, R. P. W. Duin, and J. Mao, "Statistical pattern recognition: a review," IEEE Tran. Pattern Anal. Mach. Intell., vol. 22, no. 1, pp. 4-37, Jan 2000. (Pubitemid 32132953)
38. M. Celebi, H. Kingravi, and P. A. Vela, "A comparative study of efficient initialization methods for the k-means clustering algorithm," Expert Syst. Appl., vol. 40, no. 1, pp. 200-210, Sep. 2012.
39. M. A. T. Figueiredo and A. K. Jain, "Unsupervised learning of finite mixture models," IEEE Trans. Pattern Anal. Mach. Intell., vol. 24, no. 3, pp. 381-396, Mar. 2002. (Pubitemid 35289353)
40. DermQuest, (2012). [Online]. Available: http://www.dermquest.com