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AIME
2001
Springer
15 years 11 months ago
Dynamic Adaptation of Cooperative Agents for MRI Brain Scans Segmentation
To cope with the difficulty of MRI brain scans automatic segmentation, we need to constrain and control the selection and the adjustment of processing tools depending on the local ...
Nathalie Richard, Michel Dojat, Catherine Garbay
CVPR
1997
IEEE
15 years 11 months ago
Smoothness in Layers: Motion segmentation using nonparametric mixture estimation
Grouping based on common motion, or “common fate” provides a powerful cue for segmenting image sequences. Recently a number of algorithms have been developed that successfully...
Yair Weiss
CVPR
2009
IEEE
17 years 1 months ago
D - Clutter: Building object model library from unsupervised segmentation of cluttered scenes
Autonomous systems which learn and utilize a limited visual vocabulary have wide spread applications. Enabling such systems to segment a set of cluttered scenes into objects is ...
Chandra Kambhamettu, Dimitris N. Metaxas, Gowri So...
MICCAI
2010
Springer
15 years 5 months ago
Automatic Lung Lobe Segmentation Using Particles, Thin Plate Splines, and Maximum a Posteriori Estimation
We present a fully automatic lung lobe segmentation algorithm that is effective in high resolution computed tomography (CT) datasets in the presence of confounding factors such as ...
James C. Ross, Raúl San José Est&eac...
PAMI
2012
13 years 9 months ago
CPMC: Automatic Object Segmentation Using Constrained Parametric Min-Cuts
—We present a novel framework to generate and rank plausible hypotheses for the spatial extent of objects in images using bottom-up computational processes and mid-level selectio...
João Carreira, Cristian Sminchisescu