Machine Learning has several applications in Healthcare Domain. It provides more efficient, faster, smarter ways to detect and cure various diseases. Machine learning approaches are widely used for cancer diagnosis. In our approach we classify cancerous and noncancerous Oral Cancer images. We focused on image pre-processing, segmentation using image segmentation app in Matlab to improve the image quality and thereby improving the accuracy of classification and cancer detection. This approach using Support Vector Machines (SVM) obtained an accuracy of 89.2%. This method can be easily adopted for early cancer detection.

Machine Learning,Oral Cancer, Image Segmentation, Support Vector Machines

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