BRAIN TUMOR DETECTION USING COMPUTER AIDED DIAGNOSTIC SYSTEM (KEY IJP************257)

• Karthick K C,Vijayakumar J

Abstract

Nowadays, people face various health issues due to changes in lifestyle, which may cause numerous health problems like sleep disturbance, vision problems, headache, stress and obesity. Moreover, these problems can lead to harmful diseases, like Brain cancer, which are an improper growth of cells inside the brain. Thankfully, advancements in medical technology, like MRI scans, make it easier to spot these diseases early. Even though it is difficult for doctors to detect tumors using their naked eye. To improve the clarity of the images, a preprocessing technique known as adaptive median filtering is applied while evaluating the images from the brain tumor database. Preprocessing removes high-frequency artifacts and noise from the images. One kind of nonlinear digital filter that is frequently used to lower noise in a signal or image is the median filter. The GLCM feature extraction algorithms are updated regardless of the preprocessing method employed. Following feature extraction, the tumors are outlined. We then used segmentation, Clahe, and Wiener filters to extract the precise tumor. To identify the brain tumor, techniques like Support Vector Machine (SVM) Detection are finally applied to the image. The recommended task results in the most implementation to finalize the diseased tumor.Keywords: MATLAB, SVM, Wiener filter, Clahe filter and Brain Tumor.