MRI Human Brain Segmentation / Classification Using Bayesian Techniques

Citation

Safa, Soodabeh (2010) MRI Human Brain Segmentation / Classification Using Bayesian Techniques. Masters thesis, University of Multimedia.

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Abstract

This project investigates automated or semi-automated statistical techniques for segmentation or classification of MR human brain images for tissues, like Gray Matter (GM), White Matter (WM), CSF (Celebro-Spinal Fluid).

Item Type: Thesis (Masters)
Subjects: R Medicine > RC Internal medicine
Divisions: Faculty of Engineering and Technology (FET)
Depositing User: Ms Suzilawati Abu Samah
Date Deposited: 18 Jan 2012 07:12
Last Modified: 18 Jan 2012 07:12
URII: http://shdl.mmu.edu.my/id/eprint/3353

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