Prediction of post-treatment recurrence in early-stage breast cancer using deep-learning with mid-infrared chemical histopathological imaging.
- DOI
- 10.1038/s41698-024-00772-x
- Published
- 2025 Jan 17
- Container
- NPJ precision oncology
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1038/s41698-024-00772-x,
title = {Prediction of post-treatment recurrence in early-stage breast cancer using deep-learning with mid-infrared chemical histopathological imaging.},
author = {Keogan A and Nguyen TNQ and Bouzy P and Stone N and Jirstrom K and Rahman A and Gallagher WM and Meade AD},
year = {2025},
journal = {NPJ precision oncology},
doi = {10.1038/s41698-024-00772-x},
url = {https://doi.org/10.1038/s41698-024-00772-x}
}RIS
TY - JOUR TI - Prediction of post-treatment recurrence in early-stage breast cancer using deep-learning with mid-infrared chemical histopathological imaging. AU - Keogan A AU - Nguyen TNQ AU - Bouzy P AU - Stone N AU - Jirstrom K AU - Rahman A AU - Gallagher WM AU - Meade AD PY - 2025 JO - NPJ precision oncology DO - 10.1038/s41698-024-00772-x UR - https://doi.org/10.1038/s41698-024-00772-x ER -
APA
A, K., TNQ, N., P, B., N, S., K, J., A, R., WM, G., & AD, M. (2025). Prediction of post-treatment recurrence in early-stage breast cancer using deep-learning with mid-infrared chemical histopathological imaging.. NPJ precision oncology. https://doi.org/10.1038/s41698-024-00772-x
Source records
- pubmed · retrieved 2026-09-25T17:27:23.702Z