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» Model-Based Brain and Tumor Segmentation
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MICCAI
2008
Springer
14 years 8 months ago
Segmenting Brain Tumors Using Pseudo-Conditional Random Fields
Locating Brain tumor segmentation within MR (magnetic resonance) images is integral to the treatment of brain cancer. This segmentation task requires classifying each voxel as eith...
Chi-Hoon Lee, Shaojun Wang, Albert Murtha, Matt...
CVBIA
2005
Springer
14 years 1 months ago
Segmenting Brain Tumors with Conditional Random Fields and Support Vector Machines
Abstract. Markov Random Fields (MRFs) are a popular and wellmotivated model for many medical image processing tasks such as segmentation. Discriminative Random Fields (DRFs), a dis...
Chi-Hoon Lee, Mark Schmidt, Albert Murtha, Aalo Bi...
MICCAI
2002
Springer
14 years 8 months ago
Recognizing Deviations from Normalcy for Brain Tumor Segmentation
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...
David T. Gering, W. Eric L. Grimson, Ron Kikinis
ICIP
2000
IEEE
13 years 12 months ago
Unsupervised Segmentation for Automatic Detection of Brain Tumors in MRI
Anne-Sophie Capelle, Olivier Alata, C. Fernandez, ...
CORR
2011
Springer
186views Education» more  CORR 2011»
13 years 2 months ago
A Comparison of Two Human Brain Tumor Segmentation Methods for MRI Data
Jan Egger, Dzenan Zukic, Miriam Helen Anna Bauer, ...