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» Deformable Organisms for Automatic Medical Image Analysis
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MICCAI
2010
Springer
13 years 6 months ago
Model-Based Esophagus Segmentation from CT Scans Using a Spatial Probability Map
Automatic segmentation of the esophagus from CT data is a challenging problem. Its wall consists of muscle tissue, which has low contrast in CT. Sometimes it is filled with air or...
Johannes Feulner, Shaohua Kevin Zhou, Martin Huber...
MICCAI
2006
Springer
14 years 8 months ago
Anisotropic Feature Extraction from Endoluminal Images for Detection of Intestinal Contractions
Wireless endoscopy is a very recent and at the same time unique technique allowing to visualize and study the occurrence of contractions and to analyze the intestine motility. Feat...
Fernando Azpiroz, Fernando Vilariño, Jordi ...
GI
2004
Springer
14 years 27 days ago
Engineering a Domain Ontology in a Semantic Web Retrieval System for Pathology
: Telepathology allows pathologists to acquire, analyze and exchange high quality digital histological images for diagnostic and teaching purposes. Concrete applications in this ar...
Robert Tolksdorf, Elena Paslaru Bontas
MICCAI
2003
Springer
14 years 8 months ago
3D Moment Invariant Based Morphometry
This paper advocates the use of shape descriptors based on moments of 3D coordinates for morphometry of the cortical sulci. These descriptors, which have been introduced more than ...
Jean-Francois Mangin, Fabrice Poupon, Denis Rivi&e...
IPMI
1999
Springer
14 years 8 months ago
Co-dimension 2 Geodesic Active Contours for MRA Segmentation
Abstract. Automatic and semi-automatic magnetic resonance angiography (MRA) segmentation techniques can potentially save radiologists large amounts of time required for manual segm...
Liana M. Lorigo, Olivier D. Faugeras, W. Eric L. G...