Noise as Domain Shift: Denoising Medical Images by Unpaired Image Translation

7 Oct 2019Ilja ManakovMarkus RohmChristoph KernBenedikt SchwormKarsten KortuemVolker Tresp

We cast the problem of image denoising as a domain translation problem between high and low noise domains. By modifying the cycleGAN model, we are able to learn a mapping between these domains on unpaired retinal optical coherence tomography images... (read more)

PDF Abstract

Results from the Paper

  Submit results from this paper to get state-of-the-art GitHub badges and help the community compare results to other papers.