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» Active Region Models for Segmenting Medical Images
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ICPR
2000
IEEE
15 years 10 months ago
Probabilistic Saliency Approach for Elongated Structure Detection Using Deformable Models
In this paper we address the object recognition problem in a probabilistic framework to detect and describe object appearance through image features organized by means of active c...
Xavier Orriols, Ricardo Toledo, Xavier Binefa, Pet...
ISBI
2008
IEEE
16 years 7 months ago
Controlling the error in FMRI: Hypothesis testing or set estimation?
This paper describes a new methodology and associated theoretical analysis for rapid and accurate extraction of activation regions from functional MRI data. Most fMRI data analysi...
Aarti Singh, Rebecca Willett, Robert Nowak, Zachar...
CVPR
2005
IEEE
16 years 8 months ago
A Two Level Approach for Scene Recognition
Classifying pictures into one of several semantic categories is a classical image understanding problem. In this paper, we present a stratified approach to both binary (outdoor-in...
Le Lu, Kentaro Toyama, Gregory D. Hager
IJCV
2002
99views more  IJCV 2002»
15 years 6 months ago
Subjective Surfaces: A Geometric Model for Boundary Completion
We present a geometric model and a computational method for segmentation of images with missing boundaries. In many situations, the human visual system fills in missing gaps in ed...
Alessandro Sarti, Ravi Malladi, James A. Sethian
ICCV
2009
IEEE
15 years 4 months ago
Component analysis approach to estimation of tissue intensity distributions of 3D images
Many segmentation problems in medical imaging rely on accurate modeling and estimation of tissue intensity probability density functions. Gaussian mixture modeling, currently the ...
Arridhana Ciptadi, Cheng Chen, Vitali Zagorodnov