13 search results - page 1 / 3 » Segmenting Brain Tumors Using Pseudo-Conditional Random Fiel... |
MICCAI
2008
Springer
14 years 5 months ago
2008
Springer
Locating Brain tumor segmentation within MR (magnetic resonance) images is integral to the treatment of brain cancer. This segmentation task requires classifying each voxel as eith...
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...
MICCAI
2002
Springer
14 years 5 months ago
2002
Springer
A framework is proposed for the segmentation of brain tumors from MRI. Instead of training on pathology, the proposed method trains exclusively on healthy tissue. The algorithm att...
AAAI
2008
13 years 6 months ago
2008
Most standard learning algorithms, such as Logistic Regression (LR) and the Support Vector Machine (SVM), are designed to deal with i.i.d. (independent and identically distributed...
MICCAI
2008
Springer
14 years 5 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...