Detecting hip osteoarthritis on clinical CT: a deep learning application based on 2-D summation images derived from CT.

Gebre RK, Hirvasniemi J, van der Heijden RA, Lantto I, Saarakkala S, Leppilahti J, Jämsä T

Open source

DOI
10.1007/s00198-021-06130-y
Published
2022 Feb
Container
Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA
Publisher
Not recorded
Open access
yes

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BibTeX

@article{allodium:10.1007/s00198-021-06130-y,
  title = {Detecting hip osteoarthritis on clinical CT: a deep learning application based on 2-D summation images derived from CT.},
  author = {Gebre RK and Hirvasniemi J and van der Heijden RA and Lantto I and Saarakkala S and Leppilahti J and Jämsä T},
  year = {2022},
  journal = {Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA},
  doi = {10.1007/s00198-021-06130-y},
  url = {https://doi.org/10.1007/s00198-021-06130-y}
}

RIS

TY  - JOUR
TI  - Detecting hip osteoarthritis on clinical CT: a deep learning application based on 2-D summation images derived from CT.
AU  - Gebre RK
AU  - Hirvasniemi J
AU  - van der Heijden RA
AU  - Lantto I
AU  - Saarakkala S
AU  - Leppilahti J
AU  - Jämsä T
PY  - 2022
JO  - Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA
DO  - 10.1007/s00198-021-06130-y
UR  - https://doi.org/10.1007/s00198-021-06130-y
ER  - 

APA

RK, G., J, H., RA, V. D. H., I, L., S, S., J, L., & T, J. (2022). Detecting hip osteoarthritis on clinical CT: a deep learning application based on 2-D summation images derived from CT.. Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA. https://doi.org/10.1007/s00198-021-06130-y

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