Open dataset and deep learning model for intelligent diagnosis of neonatal respiratory distress syndrome and aspiration syndrome in newborns
- DOI
- 10.1038/s41598-026-40740-y
- Published
- 2026-07-14
- Container
- Scientific Reports
- Publisher
- Springer Science and Business Media LLC
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1038/s41598-026-40740-y,
title = {Open dataset and deep learning model for intelligent diagnosis of neonatal respiratory distress syndrome and aspiration syndrome in newborns},
author = {Jiahuan Wu and Zhenghua Xu and Runhe Yang and Bing Zhu and Yuefu Zhan},
year = {2026},
journal = {Scientific Reports},
doi = {10.1038/s41598-026-40740-y},
url = {https://doi.org/10.1038/s41598-026-40740-y}
}RIS
TY - JOUR TI - Open dataset and deep learning model for intelligent diagnosis of neonatal respiratory distress syndrome and aspiration syndrome in newborns AU - Jiahuan Wu AU - Zhenghua Xu AU - Runhe Yang AU - Bing Zhu AU - Yuefu Zhan PY - 2026 JO - Scientific Reports DO - 10.1038/s41598-026-40740-y UR - https://doi.org/10.1038/s41598-026-40740-y ER -
APA
Wu, J., Xu, Z., Yang, R., Zhu, B., & Zhan, Y. (2026). Open dataset and deep learning model for intelligent diagnosis of neonatal respiratory distress syndrome and aspiration syndrome in newborns. Scientific Reports. https://doi.org/10.1038/s41598-026-40740-y
Source records
- crossref · retrieved 2026-09-27T12:04:12.316Z