Analysis of nailfold capillaroscopy images with artificial intelligence: Data from literature and performance of machine learning and deep learning from images acquired in the SCLEROCAP study
- DOI
- 10.1016/j.mvr.2024.104753
- Published
- 2025-01
- Container
- Microvascular Research
- Publisher
- Elsevier BV
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.mvr.2024.104753,
title = {Analysis of nailfold capillaroscopy images with artificial intelligence: Data from literature and performance of machine learning and deep learning from images acquired in the SCLEROCAP study},
author = {Lutfi Ozturk and Charlotte Laclau and Carine Boulon and Marion Mangin and Etheve Braz-ma and Joel Constans and Loubna Dari and Claire Le Hello},
year = {2025},
journal = {Microvascular Research},
doi = {10.1016/j.mvr.2024.104753},
url = {https://doi.org/10.1016/j.mvr.2024.104753}
}RIS
TY - JOUR TI - Analysis of nailfold capillaroscopy images with artificial intelligence: Data from literature and performance of machine learning and deep learning from images acquired in the SCLEROCAP study AU - Lutfi Ozturk AU - Charlotte Laclau AU - Carine Boulon AU - Marion Mangin AU - Etheve Braz-ma AU - Joel Constans AU - Loubna Dari AU - Claire Le Hello PY - 2025 JO - Microvascular Research DO - 10.1016/j.mvr.2024.104753 UR - https://doi.org/10.1016/j.mvr.2024.104753 ER -
APA
Ozturk, L., Laclau, C., Boulon, C., Mangin, M., Braz-ma, E., Constans, J., Dari, L., & Hello, C. L. (2025). Analysis of nailfold capillaroscopy images with artificial intelligence: Data from literature and performance of machine learning and deep learning from images acquired in the SCLEROCAP study. Microvascular Research. https://doi.org/10.1016/j.mvr.2024.104753
Source records
- crossref · retrieved 2026-09-25T20:53:22.055Z