UNet-ECA-Bio: a biologically informed deep learning model for high-throughput micro-phenotyping of rice stem vascular bundles.
- DOI
- 10.3389/fpls.2026.1893490
- Published
- 2026
- Container
- Frontiers in plant science
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.3389/fpls.2026.1893490,
title = {UNet-ECA-Bio: a biologically informed deep learning model for high-throughput micro-phenotyping of rice stem vascular bundles.},
author = {Li J and Zhu X and Wei Z and Huang X and Yang M and He D and Shi J and Li H and Wang H and Huang J and Shen J and Wang L},
year = {2026},
journal = {Frontiers in plant science},
doi = {10.3389/fpls.2026.1893490},
url = {https://doi.org/10.3389/fpls.2026.1893490}
}RIS
TY - JOUR TI - UNet-ECA-Bio: a biologically informed deep learning model for high-throughput micro-phenotyping of rice stem vascular bundles. AU - Li J AU - Zhu X AU - Wei Z AU - Huang X AU - Yang M AU - He D AU - Shi J AU - Li H AU - Wang H AU - Huang J AU - Shen J AU - Wang L PY - 2026 JO - Frontiers in plant science DO - 10.3389/fpls.2026.1893490 UR - https://doi.org/10.3389/fpls.2026.1893490 ER -
APA
J, L., X, Z., Z, W., X, H., M, Y., D, H., J, S., H, L., H, W., J, H., J, S., & L, W. (2026). UNet-ECA-Bio: a biologically informed deep learning model for high-throughput micro-phenotyping of rice stem vascular bundles.. Frontiers in plant science. https://doi.org/10.3389/fpls.2026.1893490
Source records
- pubmed · retrieved 2026-09-25T16:45:10.769Z