Detecting Brain Tumor at Early Stage Tumor Attest
The proposed method employs CNN and support vector machines to identify if a brain tumor is present or absent from an MRI image by employing the SVM-CNN hybrid technique after characterizing the extracted set of characteristics.
Abstract
A brain tumor is an accumulation of aberrant brain tissue. Tumors are typically separated into benign and malignant categories when they initially develop. Since tumors can be lethal, it is vital to identify and specify their presence in a brain image. The proposed method employs CNN and support vector machines to identify if a brain tumor is present or absent from an MRI image. In the first stage, when spots are discovered, the input image is converted to grayscale using binary thresholding. The discovered spots are shown according to their intensities in order to differentiate between the normal and tumor brains. Tumor identification is done by employing the SVM-CNN hybrid technique after characterizing the extracted set of characteristics.