Abnormal tissus extraction in MRI brain medical images

This study is a comparison between two image segmentation's methods; the first method is based on normal brain's tissue recognition then tumor extraction using thresholding method. The second method is classification based on EM segmentation which is used for both brain recognition and tum...

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Bibliographic Details
Main Authors: Cherifi, D., Doghmane, M. Z., Nait-Ali, A., Aici, Z., Bouzelha, S.
Format: Conference Proceeding
Language:English
Subjects:
Brain modeling
brain segmentation
Computational modeling
Diseases
EM segmentation
Image segmentation
Magnetic resonance imaging
magnetique resonance images
Pixel
tumor extraction
Tumors
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Summary:This study is a comparison between two image segmentation's methods; the first method is based on normal brain's tissue recognition then tumor extraction using thresholding method. The second method is classification based on EM segmentation which is used for both brain recognition and tumor extraction. The goal of these methods is to detect, segment, extract, classify and measure properties of the brain normal and abnormal (tumor) tissues.
DOI:10.1109/WOSSPA.2011.5931510