Improved U-Shaped Convolutional Neural Network with Convolutional Block Attention Module and Feature Fusion for Automated Segmentation of Fine Roots in Field Rhizotron Imagery
- DOI
- 10.3390/s25164956
- Published
- 2025-08-11
- Container
- Sensors
- Publisher
- MDPI AG
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.3390/s25164956,
title = {Improved U-Shaped Convolutional Neural Network with Convolutional Block Attention Module and Feature Fusion for Automated Segmentation of Fine Roots in Field Rhizotron Imagery},
author = {Yufan Wang and Fuhao Lu and Changfu Huo},
year = {2025},
journal = {Sensors},
doi = {10.3390/s25164956},
url = {https://doi.org/10.3390/s25164956}
}RIS
TY - JOUR TI - Improved U-Shaped Convolutional Neural Network with Convolutional Block Attention Module and Feature Fusion for Automated Segmentation of Fine Roots in Field Rhizotron Imagery AU - Yufan Wang AU - Fuhao Lu AU - Changfu Huo PY - 2025 JO - Sensors DO - 10.3390/s25164956 UR - https://doi.org/10.3390/s25164956 ER -
APA
Wang, Y., Lu, F., & Huo, C. (2025). Improved U-Shaped Convolutional Neural Network with Convolutional Block Attention Module and Feature Fusion for Automated Segmentation of Fine Roots in Field Rhizotron Imagery. Sensors. https://doi.org/10.3390/s25164956
Source records
- crossref · retrieved 2026-09-26T21:11:32.390Z