23 search results - page 1 / 5 » A Generative Model for Brain Tumor Segmentation in Multi-Mod... |
MICCAI
2010
Springer
13 years 2 months ago
2010
Springer
Abstract. We introduce a generative probabilistic model for segmentation of tumors in multi-dimensional images. The model allows for different tumor boundaries in each channel, ref...
ISBI
2007
IEEE
13 years 10 months ago
2007
IEEE
In this paper, multi-modal Magnetic Resonance (MR) images are integrated into a tissue profile that aims at differentiating tumor components, edema and normal tissue. This is achi...
MICCAI
2005
Springer
14 years 5 months ago
2005
Springer
Validation and method of comparison for segmentation of magnetic resonance images (MRI) presenting pathology is a challenging task due to the lack of reliable ground truth. We prop...
TMI
2008
13 years 4 months ago
2008
Abstract-- We present a new method for automatic segmentation of heterogeneous image data that takes a step toward bridging the gap between bottom-up affinity-based segmentation me...
ISBI
2004
IEEE
14 years 5 months ago
2004
IEEE
This paper presents a Bayesian framework for generating inverse-consistent inter-subject large deformation transformations between two multi-modal image sets of the brain. In this...