An Efficient Supervised Learning Based Technique for Brain Tumour Detection

Abstract

Digital image processing has lot of applications in field of recognizing and processing medical images. To analyze medical images in an accurate way is very important as patient life and treatment is associated with recognizing disease in an image. Brain tumour need a major attention as sometimes it is very difficult for a practitioner to exactly recognize and classify the tumour. In this paper our proposed system is based on supervise machine learning which classify the tumour in category of benign and malignant. The proposed work achieved an accuracy rate of near 99% which surpasses the accuracy rate of all existing methods. The machine learning enable the system to efficiently classify the category of tumour as learning improve the overall system performance and accuracy.