Deep learning based automation of mean linear intercept quantification in COPD research.

Leyendecker L, Weltin AL, Nienhaus F, Matthey M, Nießing B, Wenzel D, Schmitt RH

DOI: 10.3389/fdata.2025.1461016
Published: 2025
Container: Frontiers in big data
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.3389/fdata.2025.1461016,
  title = {Deep learning based automation of mean linear intercept quantification in COPD research.},
  author = {Leyendecker L and Weltin AL and Nienhaus F and Matthey M and Nießing B and Wenzel D and Schmitt RH},
  year = {2025},
  journal = {Frontiers in big data},
  doi = {10.3389/fdata.2025.1461016},
  url = {https://doi.org/10.3389/fdata.2025.1461016}
}

RIS

TY  - JOUR
TI  - Deep learning based automation of mean linear intercept quantification in COPD research.
AU  - Leyendecker L
AU  - Weltin AL
AU  - Nienhaus F
AU  - Matthey M
AU  - Nießing B
AU  - Wenzel D
AU  - Schmitt RH
PY  - 2025
JO  - Frontiers in big data
DO  - 10.3389/fdata.2025.1461016
UR  - https://doi.org/10.3389/fdata.2025.1461016
ER  -

APA

L, L., AL, W., F, N., M, M., B, N., D, W., & RH, S. (2025). Deep learning based automation of mean linear intercept quantification in COPD research.. Frontiers in big data. https://doi.org/10.3389/fdata.2025.1461016

Source records

pubmed · retrieved 2026-09-25T22:49:59.694Z