Denoising networks that do not need clean data to be trained!
Updated: Aug 20, 2019
The group of Florian Jug at the MPI-CBG in Dresden developed a new training scheme for deep neural networks to be able to denoise images without the need of image pairs. So all you need is your (noisy) experimental data!
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