Name
Title | ||
|---|---|---|
Denoising 3D Microscopy Images of Cell Nuclei using Shape Priors on an Anisotropic Grid. |
Abstract | ||
|---|---|---|
This paper presents a new multiscale method to denoise three-dimensional images of cell nuclei. The specificity of this method is its awareness of the noise distribution and object shapes. It combines a multiscale representation called Isotropic Undecimated Wavelet Transform (IUWT) with a nonlinear transform, a statistical test and a variational method, to retrieve spherical shapes in the image. Beyond extending an existing 2D approach to a 3D problem, our algorithm takes the sampling grid dimensions into account. We compare our method to the two algorithms from which it is derived on a representative image analysis task, and show that it is superior to both of them. It brings a slight improvement in the signal-to-noise ratio and a significant improvement in cell detection. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.5220/0005706002910298 | ICPRAM |
Field | DocType | Citations |
Noise reduction,Isotropy,Pattern recognition,Variational method,Computer science,Sampling (statistics),Artificial intelligence,Prior probability,Statistical hypothesis testing,Grid,Wavelet transform | Conference | 0 |
PageRank | References | Authors |
0.34 | 3 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Mathieu Bouyrie | 1 | 0 | 0.34 |
| Cristina E. Manfredotti | 2 | 18 | 4.70 |
| Nadine Peyriéras | 3 | 5 | 1.72 |
| Antoine Cornuéjols | 4 | 86 | 19.57 |