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Authors
Affiliations
1 Department of ECE, Sri Shakthi Institute of Engineering and Technology, IN
Source
Digital Image Processing, Vol 10, No 5 (2018), Pagination: 81-86
Abstract
Image processing is having very important role in medical domain. Melanoma skin cancer is critical and dangerous for human beings. Early detection of Melanoma skin cancer is very much necessary for the patient because this Melanoma skin cancer directly lead to the death of a person. If it is detected at early stage then Melanoma skin cancer is completely curable. In this paper early detection and classification of Melanoma skin cancer is done using different classifiers as Neural Network and Support Vector Machine.
Keywords
Neural Network, Support Vector Machine, Medical Images, Wavelet, Lesions.
References
- International Conference, Imaging System and Techniques (lST), IEEE 2011.
- Sarrafzade,O.;Baygi,M.H.M.; Ghassemi,P, "Skin Lesion Detection in Dermoscopy Images using wavelet transform and morphology operations" Biomedical Engineering(TCBME),201O Iranian Conference, IEEE Nov.20l O.
- Sookpotharom,S, "Border Detection of Skin Lesion Images Based on Fuzzy C-Means Thresholding" Genetic Computing,2009. WGEC '09. 3, International conference IEEE Oct.2009.
- F. Samopa, A. Asano.,"Hybrid Image Thresholding Method using Edge Detection", TJCSNS Inter-national Journal of Computer Science and Network Security, Vo1.9 No.4, PP.292- 299, April 2009
- M.E. Celebi,G.Schaefer,H.Iyatomi and W.V.Stoecker,"Lesion Border Detection in Dermoscopy Images,"Computerized Medical Imaging, vo1.33,No.2,pp.148-153, International Conference ,IEEE 2009.
- Ho Tak Lau,Adel AI-Jumaily, "Automatically Early Detection of Skin Cancer"2009 International Con-ference, Soft Computing and Pattern Recognition ,International conference IEEE 2009.
