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Melanoma Skin Cancer Detection Using Image Processing


Affiliations
1 Department of ECE, Sri Shakthi Institute of Engineering and Technology, India
     

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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.
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  • International Conference, Imaging System and Techniques (lST), IEEE 2011.
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Abstract Views: 250

PDF Views: 3




  • Melanoma Skin Cancer Detection Using Image Processing

Abstract Views: 250  |  PDF Views: 3

Authors

S. Gnana Saravanan
Department of ECE, Sri Shakthi Institute of Engineering and Technology, India
S. P. S. Sanjeevan
Department of ECE, Sri Shakthi Institute of Engineering and Technology, India
T. Shubiksha
Department of ECE, Sri Shakthi Institute of Engineering and Technology, India
G. Shobiya
Department of ECE, Sri Shakthi Institute of Engineering and Technology, India
V. S. Sivaanika
Department of ECE, Sri Shakthi Institute of Engineering and Technology, India

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