Development and evaluation of a deep learning model for computer-aided diagnosis of neonatal pneumothorax on chest radiographs.
- DOI
- 10.1007/s00247-026-06778-w
- Published
- 2026 Sep 12
- Container
- Pediatric radiology
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1007/s00247-026-06778-w,
title = {Development and evaluation of a deep learning model for computer-aided diagnosis of neonatal pneumothorax on chest radiographs.},
author = {Sanmoto Y and Gao Q and Hitaka D and Zhu X and Masumoto K},
year = {2026},
journal = {Pediatric radiology},
doi = {10.1007/s00247-026-06778-w},
url = {https://doi.org/10.1007/s00247-026-06778-w}
}RIS
TY - JOUR TI - Development and evaluation of a deep learning model for computer-aided diagnosis of neonatal pneumothorax on chest radiographs. AU - Sanmoto Y AU - Gao Q AU - Hitaka D AU - Zhu X AU - Masumoto K PY - 2026 JO - Pediatric radiology DO - 10.1007/s00247-026-06778-w UR - https://doi.org/10.1007/s00247-026-06778-w ER -
APA
Y, S., Q, G., D, H., X, Z., & K, M. (2026). Development and evaluation of a deep learning model for computer-aided diagnosis of neonatal pneumothorax on chest radiographs.. Pediatric radiology. https://doi.org/10.1007/s00247-026-06778-w
Source records
- pubmed · retrieved 2026-09-25T11:14:36.378Z