most citedArtefact removal in ground truth and noise model deficient sub-cellular nanoscopy images using auto-encoder deep learning

4 citations · 4 across the 1 of their papers we have counts for

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1 paper

eess.IV2020★ 4 cited

Artefact removal in ground truth and noise model deficient sub-cellular nanoscopy images using auto-encoder deep learning

Suyog Jadhav, Sebastian Acuña, Krishna Agarwal +1

Image denoising or artefact removal using deep learning is possible in the availability of supervised training dataset acquired in real experiments or synthesized using known noise…