MicroNucML enables machine learning-based micronuclei segmentation and micronuclei-nuclei association.
- DOI
- 10.1016/j.crmeth.2026.101573
- Published
- 2026 Sep 2
- Container
- Cell reports methods
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.crmeth.2026.101573,
title = {MicroNucML enables machine learning-based micronuclei segmentation and micronuclei-nuclei association.},
author = {Wang Y and Boev NB and Garcia-Lepe UO and MacDonald KM and Harding SM and Kumar S},
year = {2026},
journal = {Cell reports methods},
doi = {10.1016/j.crmeth.2026.101573},
url = {https://doi.org/10.1016/j.crmeth.2026.101573}
}RIS
TY - JOUR TI - MicroNucML enables machine learning-based micronuclei segmentation and micronuclei-nuclei association. AU - Wang Y AU - Boev NB AU - Garcia-Lepe UO AU - MacDonald KM AU - Harding SM AU - Kumar S PY - 2026 JO - Cell reports methods DO - 10.1016/j.crmeth.2026.101573 UR - https://doi.org/10.1016/j.crmeth.2026.101573 ER -
APA
Y, W., NB, B., UO, G., KM, M., SM, H., & S, K. (2026). MicroNucML enables machine learning-based micronuclei segmentation and micronuclei-nuclei association.. Cell reports methods. https://doi.org/10.1016/j.crmeth.2026.101573
Source records
- pubmed · retrieved 2026-11-10T14:40:12.623Z