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» Deformable Organisms for Automatic Medical Image Analysis
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MICCAI
2000
Springer
14 years 6 days ago
Robust 3D Segmentation of Anatomical Structures with Level Sets
This paper is focused on the use of the level set formalism to segment anatomical structures in 3D images (ultrasound ou magnetic resonance images). A closed 3D surface propagates...
C. Baillard, Christian Barillot
CIVR
2004
Springer
118views Image Analysis» more  CIVR 2004»
14 years 2 months ago
Use of Image Subset Features in Image Retrieval with Self-Organizing Maps
In content-based image retrieval (CBIR), the images in a database are indexed on the basis of low-level statistical features that can be automatically derived from the images. Due ...
Markus Koskela, Jorma Laaksonen, Erkki Oja
TITB
2010
138views Education» more  TITB 2010»
13 years 3 months ago
Local structure-based region-of-interest retrieval in brain MR images
The aging population and the growing amount of medical data have increased the need for automated tools in the neurology departments. Although the researchers have been developing ...
Devrim Unay, Ahmet Ekin, Radu S. Jasinschi
ISBI
2007
IEEE
14 years 2 months ago
Clustering on Local Appearance for Deformable Model Segmentation
We present a novel local region approach for statistically characterizing appearance in the context of medical image segmentation via deformable models. Our appearance model refl...
Joshua Stough, Robert E. Broadhurst, Stephen M. Pi...
PCM
2005
Springer
157views Multimedia» more  PCM 2005»
14 years 2 months ago
Segmentation of the Liver Using the Deformable Contour Method on CT Images
Abstract. Automatic liver segmentation from abdominal computed tomography (CT) images is one of the most important steps for computeraided diagnosis (CAD) for liver CT. However, th...
Seong-Jae Lim, Yong-Yeon Jeong, Yo-Sung Ho