Application of machine learning-assisted surface-enhanced Raman spectroscopy in medical laboratories: Principles, opportunities, and challenges
The University of Western Australia · Guangdong Academy of Medical Sciences · +9 more institutions
Indexed incrossref
Abstract
No abstract available for this paper.
Citation impact
53
total citations
- FWCI
- 67.46
- Percentile
- 100%
- References
- 162
Citations per year
Authors
6- JTJia-Wei Tang
The University of Western Australia, Guangdong Academy of Medical Sciences, Guangdong Provincial People's Hospital, Southern Medical University
- QYQuan Yuan
Guangdong Academy of Medical Sciences, Guangdong Provincial People's Hospital, Southern Medical University
- LZLi Zhang
UNSW Sydney
- BJBarry J. Marshall
The University of Western Australia, Shenzhen University, Zhengzhou University, Fifth Affiliated Hospital of Zhengzhou University
- CYChin Yen TayCorresponding
The University of Western Australia, Shenzhen University, Zhengzhou University, Fifth Affiliated Hospital of Zhengzhou University
Topics & keywords
Topics
Keywords
- Raman spectroscopy
- Nanotechnology
- Spectroscopy
- Surface-enhanced Raman spectroscopy
- Surface (topology)
- Materials science
- Computer science
- Artificial intelligence
No related works found for this paper.