Using AI in bioimage analysis to elevate the rate of scientific discovery as a community

The future of bioimage analysis is increasingly defined by the development and use of tools that rely on deep learning and artificial intelligence (AI). For this trend to continue in a way most useful for stimulating scientific progress, it will require our multidisciplinary community to work togeth...

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Veröffentlicht in:	Nature methods Jg. 20; H. 7; S. 973 - 975
Hauptverfasser:	Nogare, Damian Dalle, Hartley, Matthew, Deschamps, Joran, Ellenberg, Jan, Jug, Florian
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York Nature Publishing Group US 01.07.2023 Nature Publishing Group
Schlagworte:	631/114/1305 631/114/1564 631/114/2402 631/1647/245 706/648/697 Artificial intelligence Bioinformatics Biological Microscopy Biological Techniques Biomedical and Life Sciences Biomedical Engineering/Biotechnology Collaboration Comment Data analysis Datasets Deep learning Life Sciences Machine learning Methods Microscopy Proteomics Software Tool use
ISSN:	1548-7091, 1548-7105, 1548-7105
Online-Zugang:	Volltext
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