Brain Tumour Detection using Image Processing

Abstract

Several health organisations have identified brain tumour as the second leading cause of human death worldwide, and early detection is critical to saving lives. Biomedical Image Processing includes a variety of imaging methods such as CT scan, X-ray and Magnetic Resonance Imaging (MRI) that employ diverse approaches such as artificial neural networks (ANN), Fuzzy c-means (FCM), Support Vector Machine (SVM), and K-means. In this study, we devised a successful Watershed algorithm, which is used to detect brain tumours using MRI data.