52 search results - page 1 / 11 » Automatic Generation of Training Data for Brain Tissue Class... |
MICCAI
2002
Springer
14 years 8 months ago
2002
Springer
MICCAI
2005
Springer
2005
Springer
MRI Tissue Classification with Neighborhood Statistics: A Nonparametric, Entropy-Minimizing Approach
14 years 8 months ago
We introduce a novel approach for magnetic resonance image (MRI) brain tissue classification by learning image neighborhood statistics from noisy input data using nonparametric den...
MICCAI
2002
Springer
14 years 8 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...
MICCAI
2003
Springer
14 years 8 months ago
2003
Springer
Abstract. This paper describes effort towards automatic tissue segmentation in neonatal MRI. Extremely low contrast to noise ratio (CNR), regional intensity changes due to RF coil ...
ICCV
2007
IEEE
14 years 9 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...