Volume 3, Issue 2, March 2015, Page: 34-40
Categorization of Non-Melanoma Skin Lesion Diseases Using Support Vector Machine and Its Variants
Immagulate I., PSGR Krishnammal College for Women, Coimbatore, India
Vijaya M. S., PSGR Krishnammal College for Women, Coimbatore, India
Received: Feb. 25, 2015;       Accepted: Mar. 12, 2015;       Published: Mar. 18, 2015
DOI: 10.11648/j.ijmi.20150302.15      View  2241      Downloads  166
Abstract
Skin cancer is the growth of uncontrolled abnormal skin cells. There are two main types of skin cancers such as Melanoma and Non-Melanoma. The main objective of this research work is to focus on Non-Melanoma skin cancers and classify the types of it.The classification of non melanoma skin cancers is automated using machine learning approach and the model is built to predict the type of disease accurately using support vector machine and its variants. Various experiments have been carried out with skin lesion images and the results are analyzed.
Keywords
Classification, Machine Learning, Prediction, Support Vector Machine, Training
To cite this article
Immagulate I., Vijaya M. S., Categorization of Non-Melanoma Skin Lesion Diseases Using Support Vector Machine and Its Variants, International Journal of Medical Imaging. Vol. 3, No. 2, 2015, pp. 34-40. doi: 10.11648/j.ijmi.20150302.15
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