Classification of brain disorder using medical imaging

Detection of brain abnormalities form magnetic resonance imaging (MRI) of brain image is very
important task. Many different artefacts are present in MRI and due to this artefact degraded the
image quality and also the diagnostic quality. Detection of abnormalities in brain like tumor and
edema, skull elimination important otherwise it has been treated as an abnormality in automated
system or may hamper the intelligence system. First a method is proposed to remove artefact and
skull based statistical and computational geometric approach. Next method for segmentation and
classification of brain tumour detection is given as a total process for detection of brain abnormalities
from MRI image.