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» Predicting Segmentation Accuracy for Biological Cell Images
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ISBI
2007
IEEE
13 years 11 months ago
Automatic Segmentation of Nuclei in 3d Microscopy Images of C.Elegans
Automatic segmentation of nuclei in 3D microscopy images is essential for many biological studies including high throughput analysis of gene expression level, morphology, and phen...
Fuhui Long, Hanchuan Peng, Eugene W. Myers
BILDMED
2007
128views Algorithms» more  BILDMED 2007»
13 years 6 months ago
Network Snakes for the Segmentation of Adjacent Cells in Confocal Images
Network snakes constitute one of the latest advances in the research of image segmentation techniques: they integrate topology into active contour models. This concept is applied t...
Matthias Butenuth, Fritz Jetzek
ISBI
2009
IEEE
14 years 6 days ago
Energy Minimization Methods for Cell Motion Correction and Intracellular Analysis in Live-Cell Fluorescence Microscopy
The ultimate aim of many live-cell fluorescence microscopy imaging experiments is the quantitative analysis of the spatial structure and temporal behavior of intracellular object...
Oleh Dzyubachyk, Wiggert A. van Cappellen, Jeroen ...
ISBI
2011
IEEE
12 years 9 months ago
An automatic feature based model for cell segmentation from confocal microscopy volumes
We present a model for the automated segmentation of cells from confocal microscopy volumes of biological samples. The segmentation task for these images is exceptionally challeng...
Diana Delibaltov, Pratim Ghosh, Michael Veeman, Wi...
ISVC
2010
Springer
13 years 3 months ago
A Human Inspired Local Ratio-Based Algorithm for Edge Detection in Fluorescent Cell Images
Abstract. We have developed a new semi-automated method for segmenting images of biological cells seeded at low density on tissue culture substrates, which we use to improve the ge...
Joe Chalfoun, Alden Dima, Adele P. Peskin, John T....