10 search results - page 1 / 2 » 3D Variational Brain Tumor Segmentation using a High Dimensi... |
ICCV
2007
IEEE
14 years 8 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...
ICCV
2007
IEEE
14 years 8 months ago
2007
IEEE
In this paper we propose a new framework to simultaneously segment and register lung and tumor in serial CT data. Our method assumes nonrigid transformation on lung deformation an...
ECCV
2006
Springer
13 years 8 months ago
2006
Springer
Our goal is to automatically segment and recognize basic human actions, such as stand, walk and wave hands, from a sequence of joint positions or pose angles. Such recognition is d...
PAMI
2010
13 years 4 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...
MICCAI
2006
Springer
14 years 7 months ago
2006
Springer
Abstract. This study presents a novel automatic approach for the identification of anatomical brain structures in magnetic resonance images (MRI). The method combines a fast multis...