https://3demmethods.i2pc.es/index.php?action=history&feed=atom&title=2018Moreno_TomoEED 2026-05-01T09:51:59Z Revision history for this page on the wiki MediaWiki 1.44.2 https://3demmethods.i2pc.es/index.php?title=2018Moreno_TomoEED&diff=3365&oldid=prev 2018-12-07T20:50:01Z

<p>Created page with &quot;== Citation == Moreno, J J and Martínez-Sánchez, A and Martínez, J A and Garzón, E M and Fernández, J J. TomoEED: fast edge-enhancing denoising of tomographic volumes. B...&quot;</p> <p><b>New page</b></p><div>== Citation ==<br /> <br /> Moreno, J J and Martínez-Sánchez, A and Martínez, J A and Garzón, E M and Fernández, J J. TomoEED: fast edge-enhancing denoising of tomographic volumes. Bioinformatics, 2018, 34: 3776--3778<br /> <br /> == Abstract ==<br /> <br /> TomoEED is an optimized software tool for fast feature-preserving noise filtering of large 3D tomographic volumes on CPUs and GPUs. The tool is based on the anisotropic nonlinear diffusion method. It has been developed with special emphasis in the reduction of the computational demands by using different strategies, from the algorithmic to the high performance computing perspectives. TomoEED manages to filter large volumes in a matter of minutes in standard computers. TomoEED has been developed in C. It is available for Linux platforms at http://www.cnb.csic.es/%7ejjfernandez/tomoeed. Supplementary data are available at Bioinformatics online.<br /> <br /> == Keywords ==<br /> <br /> == Links ==<br /> <br /> https://www.ncbi.nlm.nih.gov/pubmed/29850773<br /> <br /> == Related software ==<br /> <br /> == Related methods ==<br /> <br /> == Comments ==</div>

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