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» Predicting Segmentation Accuracy for Biological Cell Images
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114
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DAGM
2010
Springer
15 years 4 months ago
Computational TMA Analysis and Cell Nucleus Classification of Renal Cell Carcinoma
Abstract. We consider an automated processing pipeline for tissue micro array analysis (TMA) of renal cell carcinoma. It consists of several consecutive tasks, which can be mapped ...
Peter J. Schüffler, Thomas J. Fuchs, Cheng So...
170
Voted
ISVC
2009
Springer
15 years 8 months ago
A 3D Active Surface Model for the Accurate Segmentation of Drosophila Schneider Cell Nuclei and Nucleoli
Abstract. We present an active surface model designed for the segmentation of Drosophila Schneider cell nuclei and nucleoli from wide-field microscopic data. The imaging technique...
Margret Keuper, Jan Padeken, Patrick Heun, Hans Bu...
128
Voted
SIBGRAPI
2007
IEEE
15 years 9 months ago
White blood cell segmentation using morphological operators and scale-space analysis
Cell segmentation is a challenging problem due to both the complex nature of the cells and the uncertainty present in video microscopy. Manual methods for this purpose are onerous...
Leyza Baldo Dorini, Rodrigo Minetto, Neucimar Jer&...
146
Voted
BMCBI
2008
128views more  BMCBI 2008»
15 years 3 months ago
Improving the prediction accuracy in classification using the combined data sets by ranks of gene expressions
Background: The information from different data sets experimented under different conditions may be inconsistent even though they are performed with the same research objectives. ...
Ki-Yeol Kim, Dong Hyuk Ki, Hei-Cheul Jeung, Hyun C...
CVPR
2012
IEEE
13 years 6 months ago
Learning to segment dense cell nuclei with shape prior
We study the problem of segmenting multiple cell nuclei from GFP or Hoechst stained microscope images with a shape prior. This problem is encountered ubiquitously in cell biology ...
Xinghua Lou, Ullrich Köthe, Jochen Wittbrodt,...