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» An Adaptive Level Set Method for Medical Image Segmentation
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IPMI
2009
Springer
16 years 20 days ago
Estimating Uncertainty in Brain Region Delineations
This paper presents a method for estimating uncertainty in MRI-based brain region delineations provided by fully-automated segmentation methods. In large data sets, the uncertainty...
Karl R. Beutner, Gautam Prasad, Evan Fletcher, Cha...

Publication
183views
14 years 9 months ago
A New Preprocessing Filter for Digital Mammogram
This paper presents a computer-aided approach to enhancing suspicious lesions in digital mammograms. The developed algorithm improves on a well-known preprocessor filter named cont...
Peyman Rahmati, Ghassan Hamarneh, Doron Nussbaum, ...
TVCG
2008
112views more  TVCG 2008»
14 years 11 months ago
Reconstruction of Cellular Biological Structures from Optical Microscopy Data
Developments in optical microscopy imaging have generated large high-resolution datasets that have spurred medical researchers to conduct investigations into mechanisms of disease,...
Kishore Mosaliganti, Lee Cooper, Richard Sharp, Ra...
ISBI
2006
IEEE
16 years 16 days ago
A diffusion tensor imaging tractography algorithm based on Navier-Stokes fluid mechanics
We introduce a method for estimating regional connectivity in diffusion tensor magnetic resonance imaging (DT-MRI) based on a fluid mechanics model. We customize the Navier-Stokes...
Nathan S. Hageman, David W. Shattuck, Katherine Na...
CVPR
2012
IEEE
13 years 2 months ago
Adaptive figure-ground classification
We propose an adaptive figure-ground classification algorithm to automatically extract a foreground region using a user-provided bounding-box. The image is first over-segmented wi...
Yisong Chen, Antoni B. Chan, Guoping Wang