Technical and functional design considerations for a real-world interpretable AI solution for NIR perfusion analysis (including cancer)

A. Moynihan, P. Boland, J. Cucek, S. Erzen, N. Hardy, P. McEntee, J. Rojc, R. Cahill

Open source

DOI
10.1016/j.ejso.2024.108273
Published
2024-12
Container
European Journal of Surgical Oncology
Publisher
Elsevier BV
Open access
unknown

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BibTeX

@article{allodium:10.1016/j.ejso.2024.108273,
  title = {Technical and functional design considerations for a real-world interpretable AI solution for NIR perfusion analysis (including cancer)},
  author = {A. Moynihan and P. Boland and J. Cucek and S. Erzen and N. Hardy and P. McEntee and J. Rojc and R. Cahill},
  year = {2024},
  journal = {European Journal of Surgical Oncology},
  doi = {10.1016/j.ejso.2024.108273},
  url = {https://doi.org/10.1016/j.ejso.2024.108273}
}

RIS

TY  - JOUR
TI  - Technical and functional design considerations for a real-world interpretable AI solution for NIR perfusion analysis (including cancer)
AU  - A. Moynihan
AU  - P. Boland
AU  - J. Cucek
AU  - S. Erzen
AU  - N. Hardy
AU  - P. McEntee
AU  - J. Rojc
AU  - R. Cahill
PY  - 2024
JO  - European Journal of Surgical Oncology
DO  - 10.1016/j.ejso.2024.108273
UR  - https://doi.org/10.1016/j.ejso.2024.108273
ER  - 

APA

Moynihan, A., Boland, P., Cucek, J., Erzen, S., Hardy, N., McEntee, P., Rojc, J., & Cahill, R. (2024). Technical and functional design considerations for a real-world interpretable AI solution for NIR perfusion analysis (including cancer). European Journal of Surgical Oncology. https://doi.org/10.1016/j.ejso.2024.108273

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