Automatic Segmentation of Putamen from Brain MRI
نویسندگان
چکیده
In this paper we present an automatic algorithm for segmenting the putamen from brain MRI based on wavelets and neural network. We first locate the position of putamen using wavelet features. The fuzzy cmeans algorithm is then combined with edge detection to segment the grey matter pixels belonging to the putamen in the located region. Moment features are extracted from the segmented objects for a neural network classifier to identify the putamenal grey matter. Experiment shows the segmentation algorithm is accurate and efficient.
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