Machine learning applications in radiation oncology

Matthew Field, Nicholas Hardcastle, Michael Jameson, Noel Aherne, Lois Holloway

Open source

DOI: 10.1016/j.phro.2021.05.007
Published: 2021-07
Container: Physics and Imaging in Radiation Oncology
Publisher: Elsevier BV
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1016/j.phro.2021.05.007,
  title = {Machine learning applications in radiation oncology},
  author = {Matthew Field and Nicholas Hardcastle and Michael Jameson and Noel Aherne and Lois Holloway},
  year = {2021},
  journal = {Physics and Imaging in Radiation Oncology},
  doi = {10.1016/j.phro.2021.05.007},
  url = {https://doi.org/10.1016/j.phro.2021.05.007}
}

RIS

TY  - JOUR
TI  - Machine learning applications in radiation oncology
AU  - Matthew Field
AU  - Nicholas Hardcastle
AU  - Michael Jameson
AU  - Noel Aherne
AU  - Lois Holloway
PY  - 2021
JO  - Physics and Imaging in Radiation Oncology
DO  - 10.1016/j.phro.2021.05.007
UR  - https://doi.org/10.1016/j.phro.2021.05.007
ER  -

APA

Field, M., Hardcastle, N., Jameson, M., Aherne, N., & Holloway, L. (2021). Machine learning applications in radiation oncology. Physics and Imaging in Radiation Oncology. https://doi.org/10.1016/j.phro.2021.05.007

Source records

crossref · retrieved 2026-09-26T03:44:45.082Z