Fetal biometry and amniotic fluid volume assessment end-to-end automation using Deep Learning.
- DOI
- 10.1038/s41467-023-42438-5
- Published
- 2023 Nov 3
- Container
- Nature communications
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1038/s41467-023-42438-5,
title = {Fetal biometry and amniotic fluid volume assessment end-to-end automation using Deep Learning.},
author = {Slimani S and Hounka S and Mahmoudi A and Rehah T and Laoudiyi D and Saadi H and Bouziyane A and Lamrissi A and Jalal M and Bouhya S and Akiki M and Bouyakhf Y and Badaoui B and Radgui A and Mhlanga M and Bouyakhf EH},
year = {2023},
journal = {Nature communications},
doi = {10.1038/s41467-023-42438-5},
url = {https://doi.org/10.1038/s41467-023-42438-5}
}RIS
TY - JOUR TI - Fetal biometry and amniotic fluid volume assessment end-to-end automation using Deep Learning. AU - Slimani S AU - Hounka S AU - Mahmoudi A AU - Rehah T AU - Laoudiyi D AU - Saadi H AU - Bouziyane A AU - Lamrissi A AU - Jalal M AU - Bouhya S AU - Akiki M AU - Bouyakhf Y AU - Badaoui B AU - Radgui A AU - Mhlanga M AU - Bouyakhf EH PY - 2023 JO - Nature communications DO - 10.1038/s41467-023-42438-5 UR - https://doi.org/10.1038/s41467-023-42438-5 ER -
APA
S, S., S, H., A, M., T, R., D, L., H, S., A, B., A, L., M, J., S, B., M, A., Y, B., B, B., A, R., M, M., & EH, B. (2023). Fetal biometry and amniotic fluid volume assessment end-to-end automation using Deep Learning.. Nature communications. https://doi.org/10.1038/s41467-023-42438-5
Source records
- pubmed · retrieved 2026-09-27T14:18:33.860Z
- europe-pmc · retrieved 2026-09-27T14:18:33.880Z
- doaj · retrieved 2026-09-27T14:18:33.862Z