New Results

DeepMIB: User-friendly and open-source software for training of deep learning network for biological image segmentation

Ilya Belevich, Eija Jokitalo
doi: https://doi.org/10.1101/2020.07.13.200105

Article Information

doi 
https://doi.org/10.1101/2020.07.13.200105
History 
  • July 14, 2020.
Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license.

Author Information

  1. Ilya Belevich* and
  2. Eija Jokitalo*
  1. Electron Microscopy Unit, Institute of Biotechnology, University of Helsinki, PO Box 56, FI-00014 Helsinki, Finland
  1. ↵*Corresponding authors Ilya Belevich (ilya.belevich{at}helsinki.fi) and Eija Jokitalo (eija.jokitalo{at}helsinki.fi)
Back to top
Posted July 14, 2020.
Download PDF

Supplementary Material

Data/Code
Email
DeepMIB: User-friendly and open-source software for training of deep learning network for biological image segmentation
Ilya Belevich, Eija Jokitalo
bioRxiv 2020.07.13.200105; doi: https://doi.org/10.1101/2020.07.13.200105
Digg logo Reddit logo Twitter logo CiteULike logo Facebook logo Google logo Mendeley logo
Citation Tools

Subject Area