13 search results - page 2 / 3 » Segmenting Brain Tumors Using Pseudo-Conditional Random Fiel... |
MICCAI
2004
Springer
14 years 5 months ago
2004
Springer
This paper presents an approach for deformable registration of a normal brain atlas to visible anatomic structures in a tumor-diseased brain image. We restrict our attention to cor...
IPMI
2011
Springer
12 years 8 months ago
2011
Springer
Tumor segmentation in PET and CT images is notoriously challenging due to the low spatial resolution in PET and low contrast in CT images. In this paper, we proposed a general fram...
EMMCVPR
1999
Springer
13 years 8 months ago
1999
Springer
This paper considers the use of the EM-algorithm, combined with mean field theory, for parameter estimation in Markov random field models from unlabelled data. Special attention ...
MICCAI
2003
Springer
14 years 5 months ago
2003
Springer
We present a new brain segmentation framework which we apply to T1-weighted magnetic resonance image segmentation. The innovation of the algorithm in comparison to the state-of-the...
PAMI
2010
13 years 2 months ago
2010
The notion of using context information for solving high-level vision and medical image segmentation problems has been increasingly realized in the field. However, how to learn a...