The use of deep learning towards dose optimization in low-dose computed tomography: A scoping review
- DOI
- 10.1016/j.radi.2021.07.010
- Published
- 2022-02
- Container
- Radiography
- Publisher
- Elsevier BV
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.radi.2021.07.010,
title = {The use of deep learning towards dose optimization in low-dose computed tomography: A scoping review},
author = {E. Immonen and J. Wong and M. Nieminen and L. Kekkonen and S. Roine and S. Törnroos and L. Lanca and F. Guan and E. Metsälä},
year = {2022},
journal = {Radiography},
doi = {10.1016/j.radi.2021.07.010},
url = {https://doi.org/10.1016/j.radi.2021.07.010}
}RIS
TY - JOUR TI - The use of deep learning towards dose optimization in low-dose computed tomography: A scoping review AU - E. Immonen AU - J. Wong AU - M. Nieminen AU - L. Kekkonen AU - S. Roine AU - S. Törnroos AU - L. Lanca AU - F. Guan AU - E. Metsälä PY - 2022 JO - Radiography DO - 10.1016/j.radi.2021.07.010 UR - https://doi.org/10.1016/j.radi.2021.07.010 ER -
APA
Immonen, E., Wong, J., Nieminen, M., Kekkonen, L., Roine, S., Törnroos, S., Lanca, L., Guan, F., & Metsälä, E. (2022). The use of deep learning towards dose optimization in low-dose computed tomography: A scoping review. Radiography. https://doi.org/10.1016/j.radi.2021.07.010
Source records
- crossref · retrieved 2026-09-25T08:43:26.244Z