MRI Human Brain Segmentation / Classification Using Bayesian Techniques

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).

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Bibliographic Details
Main Author: Safa, Soodabeh
Format: Thesis
Published: 2010
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id my-mmu-ep.3353
record_format uketd_dc
spelling my-mmu-ep.33532012-01-18T07:12:20Z MRI Human Brain Segmentation / Classification Using Bayesian Techniques 2010-01 Safa, Soodabeh RC Internal medicine 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). 2010-01 Thesis http://shdl.mmu.edu.my/3353/ http://vlib.mmu.edu.my/diglib/login/dlusr/login.php masters University of Multimedia Research Library
institution Multimedia University
collection MMU Institutional Repository
topic RC Internal medicine
spellingShingle RC Internal medicine
Safa, Soodabeh
MRI Human Brain Segmentation / Classification Using Bayesian Techniques
description 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).
format Thesis
qualification_level Master's degree
author Safa, Soodabeh
author_facet Safa, Soodabeh
author_sort Safa, Soodabeh
title MRI Human Brain Segmentation / Classification Using Bayesian Techniques
title_short MRI Human Brain Segmentation / Classification Using Bayesian Techniques
title_full MRI Human Brain Segmentation / Classification Using Bayesian Techniques
title_fullStr MRI Human Brain Segmentation / Classification Using Bayesian Techniques
title_full_unstemmed MRI Human Brain Segmentation / Classification Using Bayesian Techniques
title_sort mri human brain segmentation / classification using bayesian techniques
granting_institution University of Multimedia
granting_department Research Library
publishDate 2010
_version_ 1747829483302289408