Research on SVM and KNN Classifiers for Skin Cancer Detection

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Generally, a not unusual skin ailment in human disorder. In laptop imaginative and prescient applications, coloration is a sturdy indication for this sickness. This machine identifies pores and skin cancer based totally on the picture of the pores and skin. Initially, the skin image is filtered using filters and segmented Gausian the use of energetic contour segmentation. Segmented pix are fed as an input to the feature extraction. Pictures extracted classified the use of class strategies such as Support Vector Machine classifiers(SVM) and k Nearest Neighbor(kNN) classifiers. SVM classifier provided better results than kNN classifier




Murugan, A., Nair, Dr. S. A. H., & Kumar, Dr. K. P. S. (2019). Research on SVM and KNN Classifiers for Skin Cancer Detection. International Journal of Engineering and Advanced Technology, 9(2), 4627–4632.

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