Democratising deep learning for microscopy with ZeroCostDL4Mic

Deep Learning (DL) methods are powerful analytical tools for microscopy and can outperform conventional image processing pipelines. Despite the enthusiasm and innovations fuelled by DL technology, the need to access powerful and compatible resources to train DL networks leads to an accessibility bar...

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Publicat a:Nat Commun
Autors principals: von Chamier, Lucas, Laine, Romain F., Jukkala, Johanna, Spahn, Christoph, Krentzel, Daniel, Nehme, Elias, Lerche, Martina, Hernández-Pérez, Sara, Mattila, Pieta K., Karinou, Eleni, Holden, Séamus, Solak, Ahmet Can, Krull, Alexander, Buchholz, Tim-Oliver, Jones, Martin L., Royer, Loïc A., Leterrier, Christophe, Shechtman, Yoav, Jug, Florian, Heilemann, Mike, Jacquemet, Guillaume, Henriques, Ricardo
Format: Artigo
Idioma:Inglês
Publicat: Nature Publishing Group UK 2021
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Article
Accés en línia:https://ncbi.nlm.nih.gov/pmc/articles/PMC8050272/
https://ncbi.nlm.nih.gov/pubmed/33859193
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41467-021-22518-0
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