Deep learning for 3D vascular segmentation in hierarchical phase contrast tomography: a case study on kidney.

Yagis E, Aslani S, Jain Y, Zhou Y, Rahmani S, Brunet J, Bellier A, Werlein C, Ackermann M, Jonigk D, Tafforeau P, Lee PD, Walsh CL

Open source

DOI
10.1038/s41598-024-77582-5
Published
2024 Nov 8
Container
Scientific reports
Publisher
RWTH Aachen University
Open access
yes

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BibTeX

@article{allodium:10.1038/s41598-024-77582-5,
  title = {Deep learning for 3D vascular segmentation in hierarchical phase contrast tomography: a case study on kidney.},
  author = {Yagis E and Aslani S and Jain Y and Zhou Y and Rahmani S and Brunet J and Bellier A and Werlein C and Ackermann M and Jonigk D and Tafforeau P and Lee PD and Walsh CL},
  year = {2024},
  journal = {Scientific reports},
  doi = {10.1038/s41598-024-77582-5},
  url = {https://doi.org/10.1038/s41598-024-77582-5}
}

RIS

TY  - JOUR
TI  - Deep learning for 3D vascular segmentation in hierarchical phase contrast tomography: a case study on kidney.
AU  - Yagis E
AU  - Aslani S
AU  - Jain Y
AU  - Zhou Y
AU  - Rahmani S
AU  - Brunet J
AU  - Bellier A
AU  - Werlein C
AU  - Ackermann M
AU  - Jonigk D
AU  - Tafforeau P
AU  - Lee PD
AU  - Walsh CL
PY  - 2024
JO  - Scientific reports
DO  - 10.1038/s41598-024-77582-5
UR  - https://doi.org/10.1038/s41598-024-77582-5
ER  -

APA

E, Y., S, A., Y, J., Y, Z., S, R., J, B., A, B., C, W., M, A., D, J., P, T., PD, L., & CL, W. (2024). Deep learning for 3D vascular segmentation in hierarchical phase contrast tomography: a case study on kidney.. Scientific reports. https://doi.org/10.1038/s41598-024-77582-5

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