On the objectivity, reliability, and validity of deep learning enabled bioimage analyses

Bioimage analysis of fluorescent labels is widely used in the life sciences. Recent advances in deep learning (DL) allow automating time-consuming manual image analysis processes based on annotated training data. However, manual annotation of fluorescent features with a low signal-to-noise ratio is...

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Detalhes bibliográficos
Publicado no:eLife
Main Authors: Segebarth, Dennis, Griebel, Matthias, Stein, Nikolai, von Collenberg, Cora R, Martin, Corinna, Fiedler, Dominik, Comeras, Lucas B, Sah, Anupam, Schoeffler, Victoria, Lüffe, Teresa, Dürr, Alexander, Gupta, Rohini, Sasi, Manju, Lillesaar, Christina, Lange, Maren D, Tasan, Ramon O, Singewald, Nicolas, Pape, Hans-Christian, Flath, Christoph M, Blum, Robert
Formato: Artigo
Idioma:Inglês
Publicado em: eLife Sciences Publications, Ltd 2020
Assuntos:
Computational and Systems Biology
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC7710359/
https://ncbi.nlm.nih.gov/pubmed/33074102
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.7554/eLife.59780
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