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Comparative Analysis and Automatic Detection of Various Skin Diseases and Implementation of Leucoderma using Support Vector Machine

by Archana Singh, Ajay Rana, Shipra Srivastava
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 48 - Number 24
Year of Publication: 2012
Authors: Archana Singh, Ajay Rana, Shipra Srivastava
10.5120/7528-0570

Archana Singh, Ajay Rana, Shipra Srivastava . Comparative Analysis and Automatic Detection of Various Skin Diseases and Implementation of Leucoderma using Support Vector Machine. International Journal of Computer Applications. 48, 24 ( June 2012), 19-22. DOI=10.5120/7528-0570

@article{ 10.5120/7528-0570,
author = { Archana Singh, Ajay Rana, Shipra Srivastava },
title = { Comparative Analysis and Automatic Detection of Various Skin Diseases and Implementation of Leucoderma using Support Vector Machine },
journal = { International Journal of Computer Applications },
issue_date = { June 2012 },
volume = { 48 },
number = { 24 },
month = { June },
year = { 2012 },
issn = { 0975-8887 },
pages = { 19-22 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume48/number24/7528-0570/ },
doi = { 10.5120/7528-0570 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:44:56.457339+05:30
%A Archana Singh
%A Ajay Rana
%A Shipra Srivastava
%T Comparative Analysis and Automatic Detection of Various Skin Diseases and Implementation of Leucoderma using Support Vector Machine
%J International Journal of Computer Applications
%@ 0975-8887
%V 48
%N 24
%P 19-22
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

This paper deals with various utilities of support vector machine in the field of dermatology, especially in skin disease detection . Skin diseases have common to everyone, different types of allergies are becoming more common. Many of these diseases are very dangerous, particularly if not treated at an early stage . The main problem with these diseases is the separation of affected skin from normal skin. Modern medicine is looking for solution which could help the doctors with any aspect of work using the new technology. One of the common approaches used in this area is Support Vector Machine. There are so many diseases that have got the solution using SVM such as automatic detection of ringworm, skin cancers.

References
  1. Srimanta Kundu, Nibaran Das, Mita Nasipuri. Automatic Detection of Ringworm using Local Binary Pattern (LBP).
  2. Vapnik. V, 1999. An overview of statistical learning theory. IEEE Transaction on Neural Network. 10:989-999.
  3. World Health Organization. Ultraviolet radiation and the INTERSUN Programme. http://www. who. int, accessed April 27, 2005,
  4. Bernhard Sh¨olkopf, 2001. Survival-time classification of breast cancer patients. Techni-cal Report 01-03, National Taiwan University of Science and Technology, Taipei, Taiwan.
  5. Ming Huang and Vojislav Kecman. 2005. Gene extraction for cancer diagnosis by support vector machines. Artificial Intelligence in Medicine, 35:185–194.
  6. Michal Antkowiak. May 3, 2000 Master's Thesis in Computing Science.
  7. Hensin Tsao, Taeg Sang Cho, William T Freeman. A reliable skin mole localization scheme.
  9. Tsao. H, Atkins. M, and Sober. A . 2004. Management of cutaneous melanoma. The new England Journal of Medicine, 351(10):998-1012.
  10. ECureMe. Medical Dictionary. http://www. ecureme. com/, accessed March 30, 2006, 2006.
  11. Hunter. J. A . A, Savin. J. A, and Dahl. M. V. 1995 Clinical Dermatology. Blackwell Science,.
  12. Dermis. March 2006. Dermatology Information Service. http://www. dermis. net/.
  13. Chih-Chung Chang and Chih-Jen Lin. LIBSVM: a Library for Support Vector Machines,2001. http://www. csie. ntu. edu. tw/ cjlin/libsvm.
  14. Piotr Szczepaniak, Obliczenia inteligentne, szybkie przekszta lcenia, i klasyfikatory. 2004 Akademicka Oficyna Wydawnicza EXIT, Warszawa, PL.
  15. Stamatas. G. N, Zmudzka. B. Z, Kollias. N, and Beer. J. Z. 2004 "Non-invasive measurements of skin pigmentation in situ," Pigment cell res, vol. 17, pp. 618–626, 2004.
  16. Stamatas . G. N, Zmudzka . B. Z, Kollias. N, and J. Z. Beer. 2008. In vivo measurement of skin erythema and pigmentation: new means of implementation of diffuse reflectance spectroscopy with a commercial instrument," British Journal of Dermatology, vol. 159, pp. 683–690.
  17. Le Poole IC, Das P. K, Vandan Wijngaard RMJGJ, Bas. J. D, Westerhof. W. 1993. Review of the epthiopathomechanism of vitiligo: a convergence theory. Exp Dermatol; 2:145-53.
Index Terms

Computer Science
Information Sciences

Keywords

Dermatology Support Vector Machine Leucoderma

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