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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...
Autores principales: | 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 |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
eLife Sciences Publications, Ltd
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7710359/ https://www.ncbi.nlm.nih.gov/pubmed/33074102 http://dx.doi.org/10.7554/eLife.59780 |
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