Development of deep learning-based narrow-band imaging endocytoscopic classification for predicting colorectal lesions from a retrospective study.
- DOI
- 10.1038/s41467-025-63812-5
- Published
- 2025 Sep 24
- Container
- Nature communications
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1038/s41467-025-63812-5,
title = {Development of deep learning-based narrow-band imaging endocytoscopic classification for predicting colorectal lesions from a retrospective study.},
author = {Wang J and Liu M and Liao H and Fan J and Zhu H and Ma T and Yang D and Ni F and Zhang F and Jin G and Yu J and He J and Liang X and Zhang N and Xu H and Zhang Z},
year = {2025},
journal = {Nature communications},
doi = {10.1038/s41467-025-63812-5},
url = {https://doi.org/10.1038/s41467-025-63812-5}
}RIS
TY - JOUR TI - Development of deep learning-based narrow-band imaging endocytoscopic classification for predicting colorectal lesions from a retrospective study. AU - Wang J AU - Liu M AU - Liao H AU - Fan J AU - Zhu H AU - Ma T AU - Yang D AU - Ni F AU - Zhang F AU - Jin G AU - Yu J AU - He J AU - Liang X AU - Zhang N AU - Xu H AU - Zhang Z PY - 2025 JO - Nature communications DO - 10.1038/s41467-025-63812-5 UR - https://doi.org/10.1038/s41467-025-63812-5 ER -
APA
J, W., M, L., H, L., J, F., H, Z., T, M., D, Y., F, N., F, Z., G, J., J, Y., J, H., X, L., N, Z., H, X., & Z, Z. (2025). Development of deep learning-based narrow-band imaging endocytoscopic classification for predicting colorectal lesions from a retrospective study.. Nature communications. https://doi.org/10.1038/s41467-025-63812-5
Source records
- pubmed · retrieved 2026-09-26T12:39:44.398Z