Convolutional neural networks for head and neck tumor segmentation on 7-channel multiparametric MRI: a leave-one-out analysis.

Bielak L, Wiedenmann N, Berlin A, Nicolay NH, Gunashekar DD, Hägele L, Lottner T, Grosu AL, Bock M

Open source

DOI
10.1186/s13014-020-01618-z
Published
2020 Jul 29
Container
Radiation oncology (London, England)
Publisher
Not recorded
Open access
yes

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BibTeX

@article{allodium:10.1186/s13014-020-01618-z,
  title = {Convolutional neural networks for head and neck tumor segmentation on 7-channel multiparametric MRI: a leave-one-out analysis.},
  author = {Bielak L and Wiedenmann N and Berlin A and Nicolay NH and Gunashekar DD and Hägele L and Lottner T and Grosu AL and Bock M},
  year = {2020},
  journal = {Radiation oncology (London, England)},
  doi = {10.1186/s13014-020-01618-z},
  url = {https://doi.org/10.1186/s13014-020-01618-z}
}

RIS

TY  - JOUR
TI  - Convolutional neural networks for head and neck tumor segmentation on 7-channel multiparametric MRI: a leave-one-out analysis.
AU  - Bielak L
AU  - Wiedenmann N
AU  - Berlin A
AU  - Nicolay NH
AU  - Gunashekar DD
AU  - Hägele L
AU  - Lottner T
AU  - Grosu AL
AU  - Bock M
PY  - 2020
JO  - Radiation oncology (London, England)
DO  - 10.1186/s13014-020-01618-z
UR  - https://doi.org/10.1186/s13014-020-01618-z
ER  - 

APA

L, B., N, W., A, B., NH, N., DD, G., L, H., T, L., AL, G., & M, B. (2020). Convolutional neural networks for head and neck tumor segmentation on 7-channel multiparametric MRI: a leave-one-out analysis.. Radiation oncology (London, England). https://doi.org/10.1186/s13014-020-01618-z

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