Sciweavers

87 search results - page 6 / 18
» 3D Brain Tumor Segmentation Using Level-Sets Method
Sort
View
BILDMED
2008
138views Algorithms» more  BILDMED 2008»
13 years 9 months ago
Level Set Segmentation of Lumbar Vertebrae Using Appearance Models
For the planning of surgical interventions of the spine exact knowledge about 3D shape and the local bone quality of vertebrae are of great importance in order to estimate the anch...
Karl D. Fritscher, Stefan Leber, Werner Schmö...
ICPR
2010
IEEE
13 years 5 months ago
3D Filtering for Injury Detection in Brain MRI
This paper introduces a brain injury detection approach, using 3D filtering technique, for the images acquired by the magnetic resonance imaging (MRI) technique. The proposed meth...
Yu Sun, Bir Bhanu
ISBI
2006
IEEE
14 years 8 months ago
3D tumor shape reconstruction from 2D bioluminescence images
This paper introduces a novel and efficient algorithm for reconstructing the 3D shapes of tumors from a set of 2D bioluminescence images which are taken by the same camera but aft...
Junzhou Huang, Xiaolei Huang, Dimitris N. Metaxas,...
ISBI
2011
IEEE
12 years 11 months ago
3D segmentation of rodent brain structures using Active Volume Model with shape priors
Object boundary extraction is an important task in brain image analysis. Acquiring detailed 3D representations of the brain structures could improve the detection rate of diseases...
Shaoting Zhang, Junzhou Huang, Mustafa Gökhan...
CVBIA
2005
Springer
14 years 1 months ago
Fast 3D Brain Segmentation Using Dual-Front Active Contours with Optional User-Interaction
Abstract. Important attributes of 3D brain segmentation algorithms include robustness, accuracy, computational efficiency, and facilitation of user interaction, yet few algorithms ...
Hua Li, Anthony J. Yezzi, Laurent D. Cohen