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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Udgivet i: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
Format: Artigo
Sprog:Inglês
Udgivet: eLife Sciences Publications, Ltd 2020
Fag:
Computational and Systems Biology
Online adgang: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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