A hybrid YOLO-UNet3D framework for automated protein particle annotation in Cryo-ET images.

Liu Z, Yuan C, Zhang Z, Zhou X, Li X, Tian Z, Pei Y, Jiang Z, Tian Z

DOI: 10.1038/s41598-025-09522-w
Published: 2025 Jul 11
Container: Scientific reports
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1038/s41598-025-09522-w,
  title = {A hybrid YOLO-UNet3D framework for automated protein particle annotation in Cryo-ET images.},
  author = {Liu Z and Yuan C and Zhang Z and Zhou X and Li X and Tian Z and Pei Y and Jiang Z and Tian Z},
  year = {2025},
  journal = {Scientific reports},
  doi = {10.1038/s41598-025-09522-w},
  url = {https://doi.org/10.1038/s41598-025-09522-w}
}

RIS

TY  - JOUR
TI  - A hybrid YOLO-UNet3D framework for automated protein particle annotation in Cryo-ET images.
AU  - Liu Z
AU  - Yuan C
AU  - Zhang Z
AU  - Zhou X
AU  - Li X
AU  - Tian Z
AU  - Pei Y
AU  - Jiang Z
AU  - Tian Z
PY  - 2025
JO  - Scientific reports
DO  - 10.1038/s41598-025-09522-w
UR  - https://doi.org/10.1038/s41598-025-09522-w
ER  -

APA

Z, L., C, Y., Z, Z., X, Z., X, L., Z, T., Y, P., Z, J., & Z, T. (2025). A hybrid YOLO-UNet3D framework for automated protein particle annotation in Cryo-ET images.. Scientific reports. https://doi.org/10.1038/s41598-025-09522-w

Source records

pubmed · retrieved 2026-09-26T14:32:44.909Z