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MICCAI
2010
Springer
14 years 10 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...
ECCV
2008
Springer
16 years 1 months ago
An Extended Phase Field Higher-Order Active Contour Model for Networks and Its Application to Road Network Extraction from VHR S
This paper addresses the segmentation from an image of entities that have the form of a `network', i.e. the region in the image corresponding to the entity is composed of bran...
Ian H. Jermyn, Josiane Zerubia, Ting Peng, V&eacut...
ICIAP
2001
Springer
15 years 12 months ago
Bayesian Face Recognition with Deformable Image Models
We propose a novel representation for characterizing image differences using a deformable technique for obtaining pixel-wise correspondences. This representation, which is based o...
Baback Moghaddam, Chahab Nastar, Alex Pentland
CAIP
2005
Springer
220views Image Analysis» more  CAIP 2005»
15 years 5 months ago
Application of Automatic Image Registration in a Segmentation Framework of Pelvic CT Images
In radiation treatment (RT) planning, clinicians must trace the outline of a few critical structures on a large number of images. Using automated image segmentation could save trem...
Attila Tanács, Eörs Máté...
IEEEICCI
2007
IEEE
15 years 6 months ago
An Image Association Model of the Brodmann Areas
The ability to associate images is the basis for learning relationships involving vision, hearing, tactile sensation, and kinetic motion. A new architecture is described that has ...
Douglas S. Greer