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» Predicting Segmentation Accuracy for Biological Cell Images
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ISBI
2007
IEEE
15 years 9 months ago
A Variational Model for Level-set Based Cell Tracking in Time-lapse Fluorescence Microscopy Images
Quantifying the motion and deformation of large numbers of cells through image sequences obtained with fluorescence microscopy is a recurrent task in many biological studies. Aut...
Oleh Dzyubachyk, Wiro J. Niessen, Erik H. W. Meije...
ESWA
2006
122views more  ESWA 2006»
15 years 3 months ago
Transmembrane segments prediction and understanding using support vector machine and decision tree
In recent years, there have been many studies focusing on improving the accuracy of prediction of transmembrane segments, and many significant results have been achieved. In spite...
Jieyue He, Hae-Jin Hu, Robert W. Harrison, Phang C...
ISBI
2009
IEEE
15 years 10 months ago
Instance-Based Generative Biological Shape Modeling
Biological shape modeling is an essential task that is required for systems biology efforts to simulate complex cell behaviors. Statistical learning methods have been used to buil...
Tao Peng, Wei Wang, Gustavo K. Rohde, Robert F. Mu...
112
Voted
BMCV
2000
Springer
15 years 8 months ago
The Role of Natural Image Statistics in Biological Motion Estimation
While a great deal of experimental evidence supports the Reichardt correlator as a mechanism for biological motion detection, the correlator does not signal true image velocity. Th...
Ron O. Dror, David C. O'Carroll, Simon B. Laughlin
130
Voted
BIBE
2007
IEEE
126views Bioinformatics» more  BIBE 2007»
15 years 5 months ago
An End-to-End Process for Cancer Identification from Images of Lung Tissue
— This research describes a non-interactive process that applies several forms of computational intelligence to the task of classifying biopsy lung tissue samples based on visual...
Walker H. Land Jr., Daniel W. McKee, Tatyana Zhuko...