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TIP
2008
116views more  TIP 2008»
13 years 8 months ago
Self-Repelling Snakes for Topology-Preserving Segmentation Models
The implicit framework of the level-set method has several advantages when tracking propagating fronts. Indeed, the evolving contour is embedded in a higher dimensional level-set f...
Carole Le Guyader, Luminita A. Vese
TMI
2008
154views more  TMI 2008»
13 years 8 months ago
Brain Anatomical Structure Segmentation by Hybrid Discriminative/Generative Models
In this paper, a hybrid discriminative/generative model for brain anatomical structure segmentation is proposed. The learning aspect of the approach is emphasized. In the discrimin...
Zhuowen Tu, Katherine Narr, Piotr Dollár, I...
TMI
1998
128views more  TMI 1998»
13 years 8 months ago
Fully Automatic Segmentation of the Brain in MRI
— A robust fully automatic method for segmenting the brain from head magnetic resonance (MR) images has been developed, which works even in the presence of radio frequency (RF) i...
M. Stella Atkins, Blair T. Mackiewich
MICCAI
2010
Springer
13 years 6 months ago
Automatic Detection and Segmentation of Axillary Lymph Nodes
Lymph node detection and measurement is a difficult and important part of cancer treatment. In this paper we present a robust and effective learning-based method for the automatic...
Adrian Barbu, Michael Sühling, Xun Xu, David ...
ICCV
2011
IEEE
12 years 10 months ago
Segmentation as Selective Search for Object Recognition
Software available at http://disi.unitn.it/~uijlings or http://koen.me/research/ For object recognition, the current state-of-the-art is based on exhaustive search. However, to ...
K van de Sande, J Uijlings, T Gevers, A Smeulders