Significance of color & texture features in computerized melanoma diagnosis using soft computing techniques

International Journal of Applied Engineering Research

Volumn 9, Issue 12, 2014, Pages 1875-1884

  Rameshkumar, P ^a   Santhi, B ^a   Monisha, M ^a  

^a SASTRA UNIVERSITY   (India)

Author keywords

ANN and feature extraction; Color feature; Melanoma diagnosis; SVM; Texture feature

Indexed keywords

EID: 84901236099     PISSN: 09734562     EISSN: 09739769     Source Type: Journal    
DOI: None     Document Type: Article

References (19)

1. Cancer facts and figures 2014", American Cancer Society, Atlanta, GA, USA, 2014, Tech. Rep.
2. Friedman R, Rigel D, Kopf A, 1985,"Early detection of melanoma:the role of physician examination and self-examination of the skin,"CA:A cancer Journal for Clinicians, vol. 35, no. 3, pp. 130-151.
3. Steiner A, Pehamberger H, Wolff K., 1987,"In vivo epiluminescence microscopy of pigmented skin lesions. II. Diagnosis of small pigmented skin lesions and early detection of malignant melanoma,"Journal of American Academy Dermatoly, vol. 17, pp:584-91.
4. Menzies SW, Ingvar C, McCarthy WH., 1996,"A sensitivity and specificity analysis of the surface microscopy features of invasive melanoma,"Melanoma Research, vol. 6, pp:55-62.
5. Bourne P, Rosendahl C, Keir J, Cameron A., 2012,"BLINCK-A diagnostic algorithm for skin cancer diagnosis combining clinical features with dermatoscopy findings,"Dermatol Pract Conc.; vol. 2 no. 2, pp:12.
6. J. Scott Henning, Stephen W. Dusza, Steven Q. Wang et al, 2007,"The CASH (color, architecture, symmetry, and homogeneity) algorithm for dermoscopy,"Journal of the American Academy of Dermatology, vol. 56, no. 1, pp:45-52.
7. Cliff R, Alan C, Ian M and David W, 2012,"Dermatoscopy in routine practice 'Chaos and Clues',"Australian Family Physician, 41(7):482-87.
8. H. Ganster, A. Pinz, E. Wildling, M. Binder, and H. Kittler, March 2001,"Automated melanoma recognition,"IEEE Transactions on Medical Imaging, vol. 20, no. 3, pp. 233-239.
9. M. E. Celebi, H. A. Kingravi, B. Uddin, H. Iyatomi, Y. Aslandogan, W. Stoecker, and R. Moss, September 2007,"A methodological approach to the classification of dermoscopy images,"Computerized Medical Imaging and Graphics, vol. 31, no. 6, pp. 362-373.
10. H. Iyatomi, H. Oka, M. E. Celebi, M. Hashimoto, M. Hagiwara, M. Tanaka, and K. Ogawa, October 2008,"An improved Internet-based melanoma screening system with dermatologist-like tumor area extraction algorithm,"Computerized Medical Imaging Graphics, vol. 32, no. 7, pp. 566-579.
11. N. Situ, X. Yuan, G. Chen, and J. Zouridakis, 2008,"Malignant melanoma detection by bag-of-features classification,"in Proceeding of 30th IEEE EMBS Annu. International Conference., pp. 3110-3113.
12. S. Seidenari, G. Pellacani, and C. Grana, November 2005,"Pigment distribution in melanocytic lesion images:A digital parameter to be employed for computer-aided diagnosis,"Skin Research and Technology, vol. 11, no. 4, pp:236-241.
13. M. E. Celebi, H. Iyatomi, W. Stoecker, R. Moss, H. Rabinovitz, G. Argenziano, and H. Soyer, December 2008,"Automatic detection of blue-white veil and related structures in dermoscopy images,"Computerized Medical Imaging Graphics, vol. 32, no. 8, pp:670-677.
14. Y. Faziloglu, R. Stanley, R. Moss, and W. S. R. McLean, May 2003,"Colour histogramanalysis for melanoma discrimination in clinical images,"Skin Research and Technology, vol. 9, no. 2, pp:147-156.
15. M. Sheha, M. S. Mabrouk, and A. Sharawy, March 2012,"Automatic detection of melanoma skin cancer using texture analysis,"International Journal of Computer Applications, vol. 42, no. 20, pp:22-26.
16. Barata, C.; Ruela, M.; Francisco, M.; Mendonca, T.; Marques, J. S., 2013,"Two Systems for the Detection of Melanomas in Dermoscopy Images Using Texture and Color Features,"Systems Journal, IEEE, vol. 99 pp:1-15
17. Jose Luis García Arroyo, Begoña García Zapirain, January 2014,"Detection of pigment network in dermoscopy images using supervised machine learning and structural analysis,"Computers in Biology and Medicine, vol. 44, no. 1 pp:144-157
18. Lee t, Ng V, Gallagher R, Coldman A, McLean D, 2011,"DullRazor®:A software approach to hair removal from images,"Computers in Biology and Medicine, vol. 41, no. 3, pp:139-145.
19. 2-A dermoscopic image database for research and benchmarking,"35th International Conference of the IEEE Engineering in Medicine and Biology Society, Osaka, Japan.