23 search results - page 2 / 5 » A Generative Model for Brain Tumor Segmentation in Multi-Mod... |
MICCAI
2005
Springer
14 years 5 months ago
2005
Springer
An approach to the deformable registration of three-dimensional brain tumor images to a normal brain atlas is presented. The approach involves the integration of three components:...
CVBIA
2005
Springer
13 years 10 months ago
2005
Springer
Abstract. Markov Random Fields (MRFs) are a popular and wellmotivated model for many medical image processing tasks such as segmentation. Discriminative Random Fields (DRFs), a dis...
ICCV
2007
IEEE
14 years 6 months ago
2007
IEEE
Tumor segmentation from MRI data is an important but time consuming task performed manually by medical experts. Automating this process is challenging due to the high diversity in...
MICCAI
2003
Springer
14 years 5 months ago
2003
Springer
Given models for healthy brains, tumor segmentation can be seen as a process of detecting abnormalities or outliers that are present with certain image intensity and geometric prop...
MICCAI
2008
Springer
14 years 6 months ago
2008
Springer
In this paper we present a fully automated approach to the segmentation of pediatric brain tumors in multi-spectral 3-D magnetic resonance images. It is a top-down segmentation app...