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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Detalles Bibliográficos
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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: eLife Sciences Publications, Ltd 2020
Materias:
Computational and Systems Biology
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

Internet

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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