INTELLIGENT CLASSIFICATION OF MELANOMA USING SVM-MACHINE LEARNING
Manisha N L, Neethu V C, Swathy Venu K, Sheethal M S
In recent days, skin cancer is seen as one of the most Hazardous form of the Cancers found in Humans. Skin cancer is found in various types such as Melanoma, Basal and Squamous Cell Carcinoma among which Melanoma is the most unpredictable. The detection of Melanoma cancer in early stage can be helpful to cure it. In this paper, an intelligent decision support system for melanoma classification is build as a health monitor robot to promote early diagnosis. This system is developed in order to categorize skin lesion as malignant and benign for these steps such as pre-processing, segmentation, feature extraction and finally classification is done. Dermoscopic images are used as the database which improves the performance during the prediction of the result. Multiple regions from skin lesion is taken into consideration which is the highlights of this project. A combination of support vector machine and random forest are used as the classifier which predicts the desired output.