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» Segmentation of medical images using a genetic algorithm
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MICCAI
2009
Springer
16 years 8 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...
ISBI
2008
IEEE
16 years 7 months ago
Deconvolution of 3D fluorescence micrographs with automatic risk minimization
We investigate the problem of automatic tuning of a deconvolution algorithm for three-dimensional (3D) fluorescence microscopy; specifically, the selection of the regularization p...
Sathish Ramani, Cédric Vonesch, Michael Uns...
181
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ISBI
2002
IEEE
16 years 7 months ago
A new high-resolution processing method for the deconvolution of optical coherence tomography signals
We show the feasibility and the potential of a new signal processing algorithm for the high-resolution deconvolution of OCT signals. Our technique relies on the description of the...
Thierry Blu, Herbert Bay, Michael Unser
VIS
2007
IEEE
111views Visualization» more  VIS 2007»
16 years 8 months ago
Construction of Simplified Boundary Surfaces from Serial-sectioned Metal Micrographs
We present a method for extracting boundary surfaces from segmented cross-section image data. We use a constrained Potts model to interpolate an arbitrary number of region boundar...
Scott E. Dillard, John F. Bingert, Dan Thoma, B...

Source Code
1079views
15 years 1 months ago
Global Contrast based Salient Region Detection
Reliable estimation of visual saliency allows appropriate processing of images without prior knowledge of their content, and thus remains an important step in many computer vision ...