MR Brain Image Segmentation Based on Self-Organizing Map and Neural Network
Journal Title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) - Year 2014, Vol 2, Issue 12
Abstract
Image segmentation is an important process to extract information from complex medical images. Segmentation has wide application in medical field. The main objective of image segmentation is to partition an image into mutually exclusive and exhausted regions such that each region of interest is spatially contiguous and the pixels within the region are homogeneous with respect to a predefined criterion. The main objective of our project is to develop various segmentation algorithms such as Self organizing map and Neural Network to detect the various tissues like white matter, gray matter and cerebral spinal fluid for a given magnetic resonance image data set and also provide satisfactory results compared to other algorithm in terms of misclassification rate, specificity, sensitivity and correlation.
Authors and Affiliations
E. Dilliraj, P. Vadivu , A. Anbarasi
Keywords
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