Your Location：
Home >
Browse articles >
Intelligent Identification of Fritillariae Cirrhosae Bulbus，Crataegi Fructus and Pinelliae Rhizoma Based on Deep Learning Algorithms
Pharmacy Fundamentals | Updated：2020-12-10
Previous|Next

    • Intelligent Identification of Fritillariae Cirrhosae Bulbus，Crataegi Fructus and Pinelliae Rhizoma Based on Deep Learning Algorithms

    • WU Chong , TAN Chao-qun , HUANG Yong-liang , WU Chun-jie , CHEN Hu
    • Chinese Journal of Experimental Traditional Medical Formulae Vol. 26, Issue 21, Pages: 195-201(2020)

    • DOI： 10.13422/j.cnki.syfjx.20201152     

      CLC：

    Scan QR Code

  •  
  •  

  • Full Text(HTML)

  • Figs( 8 ) Tabs( 2 )

  • References

  • Publication Info

  • Metrics

Sections
icon
The trial reading is over, you can activate your VIP account to continue reading.
Deactivate >
icon
The trial reading is over. You can log in to your account, go to the personal center, purchase VIP membership, and read the full text.
Already a VIP member?
Log in >

80

Views

57

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
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
Quality Evaluation of Wine-processed Scutellariae Radix from Different Origins Based on Thermal Analysis Technology， Fingerprint and Content Determination

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
Henan Collaborative Innovation Center for the Whole Industry Chain Research and Development of Yu-based Traditional Chinese Medicine，Academy of Chinese Medical Sciences，Henan University of Chinese Medicine
State Key Laboratory of Southwestern Chinese Medicine Resources，School of Pharmacy， Chengdu University of Traditional Chinese Medicine（TCM）