24 search results - page 1 / 5 » Segmenting Brain Tumors with Conditional Random Fields and S... |
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
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...
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...
ISBI
2008
IEEE
13 years 11 months ago
2008
IEEE
In this paper we propose a classification-based method towards the segmentation of diffusion tensor images. We use Support Vector Machines to classify diffusion tensors and we ex...
ICASSP
2010
IEEE
13 years 4 months ago
2010
IEEE
We present a novel language identification technique using our recently developed deep-structured conditional random fields (CRFs). The deep-structured CRF is a multi-layer CRF mo...