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» Steerable Features for Statistical 3D Dendrite Detection
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MICCAI
2009
Springer
14 years 6 months ago
Steerable Features for Statistical 3D Dendrite Detection
Most state-of-the-art algorithms for filament detection in 3?D image-stacks rely on computing the Hessian matrix around individual pixels and labeling these pixels according to its...
François Aguet, François Fleuret, Ge...
ICPR
2006
IEEE
14 years 6 months ago
Detection of presynaptic terminals on dendritic spines in double labeling confocal images
For the analysis of learning processes and the underlying changes of the shape of excitatory synapses (spines), 3-D volume samples of selected dendritic segments are scanned by a ...
Andreas Herzog, Bernd Michaelis, Gerald Krell, Kat...
ICIP
2005
IEEE
14 years 6 months ago
Three-dimensional feature detection using optimal steerable filters
We present a framework for feature detection in 3-D using steerable filters. These filters can be designed to optimally respond to a particular type of feature by maximizing sever...
François Aguet, Mathews Jacob, Michael Unse...
CVPR
2007
IEEE
14 years 6 months ago
Learning Local Image Descriptors
In this paper we study interest point descriptors for image matching and 3D reconstruction. We examine the building blocks of descriptor algorithms and evaluate numerous combinati...
Simon A. J. Winder, Matthew Brown
CVPR
2011
IEEE
12 years 8 months ago
Effective 3D Object Detection and Regression Using Probabilistic Segmentation Features in CT Images
3D object detection and importance regression/ranking are at the core for semantically interpreting 3D medical images of computer aided diagnosis (CAD). In this paper, we propose ...
Le Lu, Jinbo Bi, Matthias Wolf, Marcos Salganicoff