A segmentation-combination data augmentation strategy and dual attention mechanism for accurate Chinese herbal medicine microscopic identification
The proposed CHMMI approach addresses key limitations of traditional methods, offering a robust solution for automating CHM microscopic identification. Its high accuracy and effective feature processing capabilities underscore its potential to modernize and support the growth of the CHM industry.
Authors
- Xiaoying Zhu (ORCID: https://orcid.org/0000-0001-6988-8026)
- Guangyao Pang (ORCID: https://orcid.org/0000-0001-8412-2547)
- Xi He (ORCID: https://orcid.org/0000-0003-2676-9742)
- Zhenming Yu (ORCID: https://orcid.org/0000-0001-5532-9792)
- Yue Chen (ORCID: https://orcid.org/0000-0003-1350-4972)
Institutions
- Wuzhou University (CN)
Publication Details
- Journal
- Frontiers in Plant Science
- Published
- 2024-11-29
- DOI
- https://doi.org/10.3389/fpls.2024.1442968
- Citations
- 1
- Primary Topic
- Traditional Chinese Medicine Studies
- Type
- article
- Field-Weighted Citation Impact
- 0.72