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113
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IDEAL
2009
Springer
14 years 12 months ago
An Automatic Segmentation and Reconstruction of Mandibular Structures from CT-Data
In any medical data analysis a good visualization of specific parts or tissues are fundamental in order to perform accurate diagnosis and treatments. For a better understanding of ...
Iñigo Barandiarán, Iván Mac&i...
128
Voted
ISBI
2008
IEEE
16 years 2 months ago
A learning based hierarchical model for vessel segmentation
In this paper we present a learning based method for vessel segmentation in angiographic videos. Vessel Segmentation is an important task in medical imaging and has been investiga...
Richard Socher, Adrian Barbu, Dorin Comaniciu
140
Voted
ICCV
1999
IEEE
15 years 6 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
125
Voted
CIBCB
2006
IEEE
15 years 8 months ago
A Novel Graphical Model Approach to Segmenting Cell Images
— Successful biological image analysis usually requires satisfactory segmentations to identify regions of interest as an intermediate step. Here we present a novel graphical mode...
Shann-Ching Chen, Ting Zhao, Geoffrey J. Gordon, R...
165
Voted
ICIP
2001
IEEE
16 years 3 months ago
Tube-embodied gradient vector flow fields for unsupervised video object plane (VOP) segmentation
In this paper constrained Gradient Vector Flow (GVF) field generation is performed, for fast and accurate unsupervised stereoscopic semantic segmentation. The scheme utilizes the ...
Anastasios D. Doulamis, Nikolaos D. Doulamis, Stef...