Cell-TRACTR: A transformer-based model for end-to-end segmentation and tracking of cells

Owen M. O’Connor, Mary J. Dunlop

Open source

DOI: 10.1371/journal.pcbi.1013071
Published: 2025-05-23
Container: PLOS Computational Biology
Publisher: Public Library of Science (PLoS)
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1371/journal.pcbi.1013071,
  title = {Cell-TRACTR: A transformer-based model for end-to-end segmentation and tracking of cells},
  author = {Owen M. O’Connor and Mary J. Dunlop},
  year = {2025},
  journal = {PLOS Computational Biology},
  doi = {10.1371/journal.pcbi.1013071},
  url = {https://doi.org/10.1371/journal.pcbi.1013071}
}

RIS

TY  - JOUR
TI  - Cell-TRACTR: A transformer-based model for end-to-end segmentation and tracking of cells
AU  - Owen M. O’Connor
AU  - Mary J. Dunlop
PY  - 2025
JO  - PLOS Computational Biology
DO  - 10.1371/journal.pcbi.1013071
UR  - https://doi.org/10.1371/journal.pcbi.1013071
ER  -

APA

O’Connor, O. M., & Dunlop, M. J. (2025). Cell-TRACTR: A transformer-based model for end-to-end segmentation and tracking of cells. PLOS Computational Biology. https://doi.org/10.1371/journal.pcbi.1013071

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crossref · retrieved 2026-09-26T04:37:00.802Z