Your Location:
Home >
Browse articles >
Intelligent Identification of Fritillariae Cirrhosae Bulbus,Crataegi Fructus and Pinelliae Rhizoma Based on Deep Learning Algorithms
Intelligent Identification of Fritillariae Cirrhosae Bulbus,Crataegi Fructus and Pinelliae Rhizoma
Based on Deep Learning Algorithms- Chinese Journal of Experimental Traditional Medical Formulae Vol. 26, Issue 21, Pages: 195-201(2020)
DOI: 10.13422/j.cnki.syfjx.20201152
Scan QR Code
Full Text(HTML)
Figs( 8 ) Tabs( 2 )
References
Publication Info
Metrics
159
Views
67
Downloads
12
CSCD
Alert me when the article has been cited
Submit
Tools
- BibTeXDownload
- EndnoteDownload
- RefMan Download
- NoteExpressDownload
- NoteFirstDownload
Related Articles
Identification of Chinese Herb Pieces Based on YOLOv4
Key Factors of Quality Formation of Fritillariae Cirrhosae Bulbus: An Analysis Based on Group-Lasso and XGBoost
Pinelliae Rhizoma and Its Prescription Compatibility for Depression Treatment: A Review
Analysis of Differential Metabolites of Pinelliae Rhizoma at Different Browning Stages Based on Widely Targeted Metabolomics
Investigation of Effect of Different Drying Conditions on Appearance Characteristics and Internal Indicators of Pinelliae Rhizoma Based on Standardization
Related Author
GUO Cong
TIAN Yujia
LI Yang
LIU Yang
ZHANG Jun
DI Jipeng
YAN Aixia
LIU An
Related Institution
College of Intelligence and Information Engineering, Shandong University of Traditional Chinese Medicine
College of Life Science and Technology, Beijing University of Chemical Technology
Institute of Chinese Materia Medica, China Academy of Chinese Medical Sciences
College of Pharmacy, Chengdu University of Traditional Chinese Medicine
College of Environmental and Chemical Engineering, Chongqing Sanxia University of Science and Technology


