Feasibility study on automated cytokinesis-block micronucleus assay analysis in cytogenetic biodosimetry using YOLOv5 object detection
The use of deep learning techniques for image recognition offers a promising approach for rapid and reliable NDI and MNs detection in cytogenetic biodosimetry.
Authors
- Yohei Fujishima (ORCID: https://orcid.org/0000-0001-5053-3276)
- Valerie Swee Ting Goh (ORCID: https://orcid.org/0000-0002-0016-609X)
- Donovan Anderson (ORCID: https://orcid.org/0000-0001-6716-4059)
- Tomisato Miura (ORCID: https://orcid.org/0000-0003-3104-2134)
Institutions
- Hirosaki University (JP)
- National University of Singapore (SG)
Publication Details
- Journal
- International Journal of Radiation Biology
- Published
- 2025-12-04
- DOI
- https://doi.org/10.1080/09553002.2025.2588409
- Primary Topic
- Gene expression and cancer classification
- Type
- article
- Field-Weighted Citation Impact
- 0.00