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ICIP
2009
IEEE
15 years 10 months ago
Modified Grabcut For Unsupervised Object Segmentation
We propose a fully automated variation of the GrabCut technique for segmenting comparatively simple images with little variation in background colour and relatively high contrast ...
105
Voted
MICCAI
2003
Springer
15 years 10 months ago
Hierarchical Segmentation of Thin Structures in Volumetric Medical Images
We introduce a new method for segmentation of 3D medical data based on geometric variational principles. A minimal variance criterion is coupled with a geometric edge alignment mea...
Michal Holtzman-Gazit, Dorith Goldsher, Ron Kimmel
CAIP
2005
Springer
118views Image Analysis» more  CAIP 2005»
15 years 3 months ago
Method for Automatically Segmenting the Spinal Cord and Canal from 3D CT Images
We present two approaches for automatically segmenting the spinal cord/canal from native CT images of the thorax region containing the spine. Different strategies are included to ...
László G. Nyúl, Judit Kany&oa...
78
Voted
ICPR
2000
IEEE
15 years 2 months ago
Discriminant Snakes for 3D Reconstruction in Medical Images
In this work we proposea new statistic deformable model that we call discriminant snake for 3D reconstruction in volumetric images. Our discriminant snake generalises the classica...
Xose Manuel Pardo, Petia Radeva
85
Voted
ECCV
2004
Springer
15 years 11 months ago
Unlevel-Sets: Geometry and Prior-Based Segmentation
We present a novel variational approach to top-down image segmentation, which accounts for significant projective transformations between a single prior image and the image to be s...
Tammy Riklin-Raviv, Nahum Kiryati, Nir A. Sochen