Bayesian segmentation and restoration of magnetic resonance brain images
My objective in this research is to develop and extend existing image restora-tion techniques by introducing more powerful image models for MR images. The approach shall also be automated, data-driven, and require very minimal inter-ference from users so that neurologists can concerntrate on their j...
Saved in:
Main Author: | Tan, Choong Leong. |
---|---|
Other Authors: | Rajapakse, Jagath Chandana |
Format: | Theses and Dissertations |
Published: |
2008
|
Subjects: | |
Online Access: | http://hdl.handle.net/10356/2454 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Similar Items
-
Bayesian network modeling of neural systems with functional MR images
by: Zheng, Xuebin
Published: (2008) -
Automated detection and segmentation of vertebral bodies in volumetric abdominal magnetic resonance images
by: Lin, Dehui.
Published: (2012) -
Text restoration using image super resolution
by: Bodipati, Kiran
Published: (2023) -
Retrospective techniques for segmentation of structural and functional MR brain images
by: Suresh Anand Sadananthan
Published: (2010) -
Deep learning for segmentation of brain lesions from CT scans
by: Chin, Luke Peng Hao
Published: (2023)