Published February 9, 2023 | Version v1
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Evaluation of Swin Transformer and knowledge transfer for denoising of super-resolution structured illumination microscopy data

Creators

  • 1. Bielefeld University of Applied Sciences

Description

This DOI contains all the trained models used in the article, "Evaluation of knowledge transfer for the denoising of super-resolution structured illumination microscopy data ".  The 'Models' folder contains two subfolders 'Models_Trained_on_Dataset_2' and 'Models_Trained_on_Dataset_4'. The naming convention of these subfolders is self-explanatory and each subfolder further contains 4 trained models.

 

 

Files

Models.zip

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Additional details

References

  • Zafran Hussain Shah, Marcel Müller, Wolfgang Hübner, Tung-Cheng Wang, Daniel Telman, Thomas Huser, Wolfram Schenck, Evaluation of Swin Transformer and knowledge transfer for denoising of super-resolution structured illumination microscopy data, GigaScience, Volume 13, 2024, giad109, https://doi.org/10.1093/gigascience/giad109