Lightweight Container Orchestration for Reproducible AI and Deep Learning Segmentation of Coronary Arteries and the Aorta in Coronary CT Angiography.

Iwanski M, Regulski P, Wendykier P

DOI: 10.3390/diagnostics16142214
Published: 2026 Jul 15
Container: Diagnostics (Basel, Switzerland)
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.3390/diagnostics16142214,
  title = {Lightweight Container Orchestration for Reproducible AI and Deep Learning Segmentation of Coronary Arteries and the Aorta in Coronary CT Angiography.},
  author = {Iwanski M and Regulski P and Wendykier P},
  year = {2026},
  journal = {Diagnostics (Basel, Switzerland)},
  doi = {10.3390/diagnostics16142214},
  url = {https://doi.org/10.3390/diagnostics16142214}
}

RIS

TY  - JOUR
TI  - Lightweight Container Orchestration for Reproducible AI and Deep Learning Segmentation of Coronary Arteries and the Aorta in Coronary CT Angiography.
AU  - Iwanski M
AU  - Regulski P
AU  - Wendykier P
PY  - 2026
JO  - Diagnostics (Basel, Switzerland)
DO  - 10.3390/diagnostics16142214
UR  - https://doi.org/10.3390/diagnostics16142214
ER  -

APA

M, I., P, R., & P, W. (2026). Lightweight Container Orchestration for Reproducible AI and Deep Learning Segmentation of Coronary Arteries and the Aorta in Coronary CT Angiography.. Diagnostics (Basel, Switzerland). https://doi.org/10.3390/diagnostics16142214

Source records

pubmed · retrieved 2026-09-25T01:05:01.962Z