Improved 3D tumour definition and quantification of uptake in simulated lung tumours using deep learning.

Dal Toso L, Chalampalakis Z, Buvat I, Comtat C, Cook G, Goh V, Schnabel JA, Marsden PK

Open source

DOI
10.1088/1361-6560/ac65d6
Published
2022 Apr 27
Container
Physics in medicine and biology
Publisher
Not recorded
Open access
yes

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BibTeX

@article{allodium:10.1088/1361-6560/ac65d6,
  title = {Improved 3D tumour definition and quantification of uptake in simulated lung tumours using deep learning.},
  author = {Dal Toso L and Chalampalakis Z and Buvat I and Comtat C and Cook G and Goh V and Schnabel JA and Marsden PK},
  year = {2022},
  journal = {Physics in medicine and biology},
  doi = {10.1088/1361-6560/ac65d6},
  url = {https://doi.org/10.1088/1361-6560/ac65d6}
}

RIS

TY  - JOUR
TI  - Improved 3D tumour definition and quantification of uptake in simulated lung tumours using deep learning.
AU  - Dal Toso L
AU  - Chalampalakis Z
AU  - Buvat I
AU  - Comtat C
AU  - Cook G
AU  - Goh V
AU  - Schnabel JA
AU  - Marsden PK
PY  - 2022
JO  - Physics in medicine and biology
DO  - 10.1088/1361-6560/ac65d6
UR  - https://doi.org/10.1088/1361-6560/ac65d6
ER  - 

APA

L, D. T., Z, C., I, B., C, C., G, C., V, G., JA, S., & PK, M. (2022). Improved 3D tumour definition and quantification of uptake in simulated lung tumours using deep learning.. Physics in medicine and biology. https://doi.org/10.1088/1361-6560/ac65d6

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