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).
Saved in:
Main Author: | Safa, Soodabeh |
---|---|
Format: | Thesis |
Published: |
2010
|
Subjects: | |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Segmentation of abdominal aortic aneurysm using a bayesian level set approach in computed tomography angiography images
by: Mozafari Majd, Emadaldin
Published: (2011) -
Automatic brain tumor segmentation method using improved fuzzy C-means and fuzzy particle swarm optimization
by: Saeed Zanganeh, Saeed Zanganeh
Published: (2014) -
Protein-protein interactions mapping in the human brain diseases
by: Leong, Geok Wei
Published: (2012) -
Brain response to different message content of pictorial health warnings from tobacco packages: comparison between smokers and non-smokers using fMRI
by: Lee, Cheeh Hui
Published: (2018) -
MRI evaluation of the lumbar spine ligamentum flavum & its contribution to degenerative spinal stenosis
by: Lian, Teh Hak
Published: (2018)