Deep Learning-Based Objective Quantification of Nasopharyngeal Endoscopic Findings for Standardized Assessment of Inflammation.
- DOI
- 10.3390/diagnostics16132015
- Published
- 2026 Jun 27
- Container
- Diagnostics (Basel, Switzerland)
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.3390/diagnostics16132015,
title = {Deep Learning-Based Objective Quantification of Nasopharyngeal Endoscopic Findings for Standardized Assessment of Inflammation.},
author = {Mogitate M and Ito H and Ohno Y and Nishiwaki N and Yamaguchi Y and Fujikawa M and Fukuo A and Sasaki Y and Watanabe Y and Wada K},
year = {2026},
journal = {Diagnostics (Basel, Switzerland)},
doi = {10.3390/diagnostics16132015},
url = {https://doi.org/10.3390/diagnostics16132015}
}RIS
TY - JOUR TI - Deep Learning-Based Objective Quantification of Nasopharyngeal Endoscopic Findings for Standardized Assessment of Inflammation. AU - Mogitate M AU - Ito H AU - Ohno Y AU - Nishiwaki N AU - Yamaguchi Y AU - Fujikawa M AU - Fukuo A AU - Sasaki Y AU - Watanabe Y AU - Wada K PY - 2026 JO - Diagnostics (Basel, Switzerland) DO - 10.3390/diagnostics16132015 UR - https://doi.org/10.3390/diagnostics16132015 ER -
APA
M, M., H, I., Y, O., N, N., Y, Y., M, F., A, F., Y, S., Y, W., & K, W. (2026). Deep Learning-Based Objective Quantification of Nasopharyngeal Endoscopic Findings for Standardized Assessment of Inflammation.. Diagnostics (Basel, Switzerland). https://doi.org/10.3390/diagnostics16132015
Source records
- pubmed · retrieved 2026-09-24T20:03:02.764Z