An Automatic Brain Tumor Detection and Segmentation Scheme for Clinical Brain Images
نویسندگان
چکیده
Brain tumour is an abnormal growth of brain cells within the brain. Detection of brain tumour is a challenging problem, due to complex structure of the brain. The automatic segmentation has great potential in clinical medicine by freeing physicians from the burden of manual labelling; whereas only a quantitative measurement allows to track and modelling precisely the disease. Magnetic resonance (MR) images are an awfully valuable tool to determine the tumour growth in brain. But, accurate brain image segmentation is a complicated and time consuming process. MR is generally more sensitive in detecting brain abnormalities during the early stages of disease, and is excellent in early detection of cases of cerebral infarction, brain tumours, or infections. In this research we put forward a method for automatic brain tumour diagnostics using MR images. The proposed system identifies and segments the tumour portions of the images successfully.
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