Generalizing common tasks in automated skin lesion diagnosis

IEEE Transactions on Information Technology in Biomedicine

Volumn 15, Issue 4, 2011, Pages 622-629

  Wighton, Paul ^a   Lee, Tim K ^a,b,c   Lui, Harvey ^c,d,e   McLean, David I ^c   Atkins, M Stella ^a,c  

^a SIMON FRASER UNIVERSITY   (Canada)

^b BRITISH COLUMBIA CANCER RESEARCH CENTRE   (Canada)

^c UNIVERSITY OF BRITISH COLUMBIA   (Canada)

^d Skin Research Training Centre   (Canada)

^e VANCOUVER GENERAL HOSPITAL   (Canada)

Author keywords

Automated skin lesion diagnosis (ASLD); computer aided diagnosis (CAD); dermoscopy; hair detection; melanoma; pigment network; segmentation

Indexed keywords

AUTOMATED SKIN LESION DIAGNOSIS (ASLD); COMPUTER-AIDED DIAGNOSIS (CAD); DERMOSCOPY; HAIR DETECTION; MELANOMA;

AUTOMATION; COMPUTER AIDED DESIGN; DERMATOLOGY; VISUALIZATION;

COMPUTER AIDED DIAGNOSIS;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; COMPUTER ASSISTED DIAGNOSIS; DIFFERENTIAL DIAGNOSIS; EPILUMINESCENCE MICROSCOPY; HUMAN; IMAGE PROCESSING; METHODOLOGY; PATHOLOGY; SKIN TUMOR;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; DERMOSCOPY; DIAGNOSIS, COMPUTER-ASSISTED; DIAGNOSIS, DIFFERENTIAL; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; SKIN NEOPLASMS;

EID: 79960540026     PISSN: 10897771     EISSN: None     Source Type: Journal    
DOI: 10.1109/TITB.2011.2150758     Document Type: Article

References (41)

1. C. Erickson and M. Driscoll, "Melanoma epidemic: Facts and controversies," Clin. Dermatol., vol. 28, no. 3, pp. 281-286, 2010.
2. M. Lens and M. Dawes, "Global perspectives of contemporary epidemiological trends of cutaneous malignant melanoma," Br. J. Dermatol., vol. 150, no. 2, pp. 179-185, 2004. (Pubitemid 38352453)
3. M.-L. Bafounta, A. Beauchet, P. Aegerter, and P. Saiag, "Is dermoscopy (Epiluminescence microscopy) useful for the diagnosis of melanoma? Results of a meta-analysis using techniques adapted to the evaluation of diagnostic tests," Arch. Dermatol., vol. 137, no. 10, pp. 1343-1350, 2001. (Pubitemid 32954186)
4. M. Vestergaard. P. Macaskill et al., "Dermoscopy compared with naked eye examination for the diagnosis of primary melanoma: A meta-analysis of studies performed in a clinical setting," Br. J. Dermatol., vol. 159, no. 3, pp. 669-676, 2008.
5. R. Friedman, D. Rigel, and A. Kopf, "Early detection of malignant melanoma: The role of physician examination and self-examination of the skin," CA: A Cancer J. Clinicians, vol. 35, no. 3, pp. 130-151, 1985. (Pubitemid 15041543)
6. H. Pehamberger, A. Steiner, and K. Wolff, "In vivo epiluminescence microscopy of pigmented skin lesions. I: Pattern analysis of pigmented skin lesions," J. Amer. Acad. Dermatol., vol. 17, no. 4, pp. 571-583, 1987. (Pubitemid 17147798)
7. A. Tenenhaus, A. Nkengne, J. Horn, C. Serruys, A. Giron, and B. Fertil, "Detection of melanoma from dermoscopic images of naevi acquired under uncontrolled conditions," Skin Res. Technol., vol. 16, no. 1, pp. 85-97, 2009.
8. O. Debeir, C. Decaestecker, J. Pasteels, I. Salmon, R. Kiss, and P. Van Ham, "Computer-assisted analysis of epiluminescence microscopy images of pigmented skin lesions," Cytometry, vol. 37, no. 4, pp. 255-266, 1999.
9. T. K. Lee, D. I. McLean, and M. S. Atkins, "Irregularity index: A new border irregularity measure for cutaneous melanocytic lesions," Med. Image Anal., vol. 7, no. 1, pp. 47-64, 2003. (Pubitemid 36097747)
10. H. Zhou, M. Chen, L. Zou, R. Gass, L. Ferris, L. Drogowski, and J. Rehg, "Spatially Constrained Segmentation of Dermoscopy Images," in Proc. 5th IEEE Int. Symp. Biomed. Imag.: Nano Macro, 2008, pp. 800-803.
11. M. E. Celebi, Y. Aslandogan, W. Stoecker, H. Iyatomi, H. Oka, and X. Chen, "Unsupervised border detection in dermoscopy images," Skin Res. Technol., vol. 13, no. 4, pp. 454-462, 2007. (Pubitemid 47506411)
12. 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, 2008.
13. M. E. Celebi, H. Kingravi, H. Iyatomi, Y. Aslandogan, W. Stoecker, R. Moss, J. Malters, J. Grichnik, A. Marghoob, andH. Rabinovitz, "Border detection in dermoscopy images using statistical region merging," Skin Res. Technol., vol. 14, no. 3, pp. 347-353, 2008.
14. M. Celebi, S. Hwang, H. Iyatomi, and G. Schaefer, "Robust border detection in dermoscopy images using threshold fusion," in Proc. 17th IEEE Int. Conf. Image Process., 2010, pp. 2541-2544.
15. T. Lee, V. Ng, R. Gallagher, A. Coldman, and D. McLean, "Dullrazor ®: A software approach to hair removal from images," Comput. Biol. Med., vol. 27, no. 6, pp. 533-543, 1997. (Pubitemid 28007991)
16. G. Argenziano, H. P Soyer et al., "Dermoscopy of pigmented skin lesions: Results of a consensusmeeting via the internet," J. Amer. Acad. Dermatol., vol. 48, no. 5, pp. 679-693, 2003. (Pubitemid 36583277)
17. A. Perrinaud, O. Gaide, L. French, J.-H. Saurat, A. Marghoob, and R. Braun, "Dermoscopy of pigmented skin lesions," J. Amer. Acad. Dermatol., vol. 52, no. 1, pp. 109-121, 2005. (Pubitemid 40038942)
18. R. P. Braun, H. S. Rabinovitz, M. Oliviero, A. W. Kopf, and J.-H. Saurat, "Can automated dermoscopy image analysis instruments provide added benefit for the dermatologist? A study comparing the results of three systems," Br. J. Dermatol., vol. 157, no. 5, pp. 926-933, 2007. (Pubitemid 47583516)
19. M. E. Celebi, H. Iyatomi,W. Stoecker, R.Moss, H. Rabinovitz, G. Argenziano, and H. Soyer, "Automatic detection of blue-white veil and related structures in dermoscopy images," Comput. Med. Imag. Graph., vol. 32, no. 8, pp. 670-677, 2008.
20. M. E. Celebi, H. Iyatomi, G. Schaefer, and W. Stoecker, "Lesion border detection in dermoscopy images," Comput. Med. Imag. Graph., vol. 33, no. 2, pp. 148-153, 2009.
21. T. Donadey, C. Serruys, A. Giron, G. Aitken, J. Vignali, R. Triller, and B. Fertil, "Boundary detection of black skin tumors using an adaptive radial-based approach," in Proc. SPIE Med. Imag. Conf., 2000, vol. 3979, pp. 810-816.
22. M. Roberts and E. Claridge, "An artificially evolved vision system for segmenting skin lesion images," in Proc. Med. Image Comput. Comput.-Assist. Intervent., 2003, pp. 655-662.
23. D. Arthur and S. Vassilvitskii, "k-means++: The advantages of careful seeding," in Proc. 18th Annu. ACM-SIAM Symp. Discrete Algorithms, 2007, pp. 1027-1035.
24. N. Otsu, "A threshold selection method from gray-level histograms," IEEE Trans. Syst., Man Cybern., vol. 9, no. 1, pp. 62-66, Jan. 1979. (Pubitemid 9413341)
25. M. E. Celebi, G. Schaefer, H. Iyatomi, W. Stoecker, J. Malters, and J. Grichnik, "An improved objective evaluation measure for border detection in dermoscopy images," Skin Res. Technol., vol. 15, no. 4, pp. 444-450, 2009.
26. 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)
27. P. Schmid-Saugeon, J. Guillod, and J. Thiran, "Towards a computeraided diagnosis system for pigmented skin lesions," Comput. Med. Imag. Graph., vol. 27, no. 1, pp. 65-78, 2003. (Pubitemid 36173558)
28. F. Xie, S. Qin, Z. Jiang, and R. Meng, "PDE-based unsupervised repair of hair-occluded information in dermoscopy images ofmelanoma," Comput. Med. Imag. Graph., vol. 33, no. 4, pp. 275-282, 2009.
29. N. Nguyen, T. Lee, and M. Atkins, "Segmentation of light and dark hair in dermoscopic images: A hybrid approach using a universal kernel," in Proc. SPIEMed. Imag. Conf., 2010, vol. 7623, pp. 76 234N-1-76 234N-8.
30. C. Serrano and B.Acha, "Pattern analysis of dermoscopic images based on Markov random fields," Pattern Recognit., vol. 42, no. 6, pp. 1052-1057, 2009.
31. N. Dalai, B. Triggs, I. Rhone-Alps, and F. Montbonnot, "Histograms of oriented gradients for human detection," in Proc. IEEE Comput. Soc.Conf. Comput. Vis. Pattern Recognit., 2005, vol. 1, pp. 886-893. (Pubitemid 43897286)
32. B. Hong, S. Soatto, K. Ni, and T. Chan, "The scale of a texture and its application to segmentation," in Proc. IEEE Conf. Comput. Vis. Pattern Recog.,, 2008, pp. 1-8.
33. A. M. Martínez and A. C. Kak, "PCA versus LDA," IEEE Trans. Pattern Anal. Mach. Intell., vol. 23, no. 2, pp. 228-233, Feb. 2001. (Pubitemid 32254716)
34. G. Argenziano, H. Soyer et al., Interactive Atlas of Dermoscopy [Book and CD-ROM]. Milan, Italy: Edra medical publishing and new media, 2000.
35. H. Soyer, G. Argenzian et al., Dermoscopy of Pigmented Skin Lesions. An Atlas based on the Consesnsus Net Meeting on Dermoscopy. Milan, Italy: Edra medical publishing and new media, 2000.
36. L. Grady, "Random walks for image segmentation," IEEE Trans. Pattern Anal. Mach. Intell., vol. 28, no. 11, pp. 1768-1783, Nov. 2006. (Pubitemid 46405425)
37. P.Wighton, M. Sadeghi, T. Lee, andM.Atkins, "A fully automatic random walker segmentation for skin lesions in a supervised setting," in Proc.Med. Image Comput. Comput.-Assist. Intervent., 2009, pp. 1108-1115.
38. N. H. Nguyen, "A hybrid approach to segmenting hair in dermoscopic images using a universal kernel," Master's thesis, Dept. Comput. Sci., Simon Fraser University, Burnaby, B.C. Canada, 2009.
39. G. Charpiat, O. Faugeras, and R. Keriven, "Shape statistics for image segmentationwith prior," in Proc. 2007 IEEE Comput. Soc. Conf. Comput. Vis. Pattern Recognit., pp. 1-6.
40. S. Li, "Markov random field models in computer vision," in Proc. 3rd Eur. Conf. Comput. Vis., 1994, pp. 361-370.
41. D. Cai, X. He, and J. Han, "Efficient kernel discriminant analysis via spectral regression," in Proc. 7th IEEE Int. Conf. Data Mining, 2007, pp. 427-432.