EfficientBioAI: making bioimaging AI models efficient in energy and latency
Nat Methods
.
2024 Mar;21(3):368-369.
doi: 10.1038/s41592-024-02167-z.
Authors
Yu Zhou
1
,
Jiajun Cao
2
,
Justin Sonneck
1
3
,
Sweta Banerjee
1
,
Stefanie Dörr
1
,
Anika Grüneboom
1
,
Kristina Lorenz
1
4
,
Shanghang Zhang
2
,
Jianxu Chen
5
Affiliations
1
Leibniz-Institut für Analytische Wissenschaften - ISAS - e.V., Dortmund, Germany.
2
National Key Laboratory for Multimedia Information Processing, School of Computer Science, Peking University, Beijing, China.
3
Faculty of Computer Science, Ruhr-University Bochum, Bochum, Germany.
4
Institute of Pharmacology and Toxicology, University of Würzburg, Würzburg, Germany.
5
Leibniz-Institut für Analytische Wissenschaften - ISAS - e.V., Dortmund, Germany. jianxu.chen@isas.de.
PMID:
38267660
DOI:
10.1038/s41592-024-02167-z
No abstract available
Publication types
Letter
Grants and funding
161L0272/Bundesministerium für Bildung und Forschung (Federal Ministry of Education and Research)