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» An Adaptive Level Set Method for Medical Image Segmentation
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ICCV
1999
IEEE
15 years 2 months ago
Geodesic Active Regions for Supervised Texture Segmentation
This paper presents a novel variational method for supervised texture segmentation. The textured feature space is generated by filtering the given textured images using isotropic ...
Nikos Paragios, Rachid Deriche
ICPR
2010
IEEE
14 years 8 months ago
3D Vertebrae Segmentation in CT Images with Random Noises
Exposure levels (X-ray tube amperage and peak kilovoltage) are associated with various noise levels and radiation dose. When higher exposure levels are applied, the images have hi...
Melih Seref Aslan
ICIP
2000
IEEE
15 years 11 months ago
Perceptible Level Lines and Isoperimetric Ratio
This paper introduces a simple criterion to select the most important level lines from the numerous set obtained with a topographic map. A topographic map gives a morphological an...
Jacques Froment
VLSM
2005
Springer
15 years 3 months ago
Advances in Variational Image Segmentation Using AM-FM Models: Regularized Demodulation and Probabilistic Cue Integration
Current state-of-the-art methods in variational image segmentation using level set methods are able to robustly segment complex textured images in an unsupervised manner. In recent...
Georgios Evangelopoulos, Iasonas Kokkinos, Petros ...
ISBI
2007
IEEE
15 years 4 months ago
A Novel Tag Removal Technique for Tagged Cardiac Mri and Its Applications
In this paper we present a novel tag removal method for tagged cardiac MR images. This method is based on a 2D bandstop filtering technique, which selectively attenuates the tag ...
Zhen Qian, Rui Huang, Dimitris N. Metaxas, Leon Ax...