Published June 7, 2025
| Version v1
Dataset
Open
AI4Life-MDC25-Nuclei
Creators
- 1. Åbo Akademi University
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2.
University of Turku
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3.
European Bioinformatics Institute
Description
This is a dataset used as a training set for "AI4Life Microscopy Supervised Denoising Challenge 2025" It is based on subsets of two datasets:
- Guillaume Jacquemet. (2021). Noisy nuclei dataset for testing deep learning-based denoising tools. Zenodo. https://doi.org/10.5281/zenodo.5750174
- Image set BBBC006v1 from the Broad Bioimage Benchmark Collection [Ljosa et al., Nature Methods, 2012]. https://bbbc.broadinstitute.org/BBBC006
For more details about the original datasets, please consult the links above.
For the details about this subset and its organization, please see https://ai4life-mdc25.grand-challenge.org/leaderboard-3/
AI4Life has received funding from the European Union’s Horizon Europe research and innovation programme under grant agreement number 101057970. Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or the European Research Council Executive Agency. Neither the European Union nor the granting authority can be held responsible for them.
For the details about this subset and its organization, please see https://ai4life-mdc25.grand-challenge.org/leaderboard-3/
AI4Life has received funding from the European Union’s Horizon Europe research and innovation programme under grant agreement number 101057970. Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or the European Research Council Executive Agency. Neither the European Union nor the granting authority can be held responsible for them.
Files
Archive.zip
Files
(290.1 MB)
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Additional details
Related works
- Is variant form of
- 10.5281/zenodo.5750174 (DOI)
- 10.1038/nmeth.2083 (DOI)