A Machine Learning-Driven Surface-Enhanced Raman Scattering Analysis Platform for the Label-Free Detection and Identification of Gastric Lesions
This discovery lays the foundation for combining SERS with machine learning for real-time diagnosis and recognition of gastric lesions.
Authors
- Chiwen Bu
- Yanhua Huang (ORCID: https://orcid.org/0000-0002-0765-2197)
- Yayun Qian (ORCID: https://orcid.org/0000-0002-3458-3377)
- Fengsong Chen (ORCID: https://orcid.org/0009-0008-0353-5680)
- Dong Zhang (ORCID: https://orcid.org/0000-0003-0825-3400)
- Ya Zhao (ORCID: https://orcid.org/0009-0006-0196-1008)
Institutions
- Nantong University (CN)
- Second People's Hospital of NanTong (CN)
- Yangzhou University (CN)
Publication Details
- Journal
- International Journal of Nanomedicine
- Published
- 2024-09-01
- DOI
- https://doi.org/10.2147/ijn.s471392
- Citations
- 8
- Primary Topic
- Biosensors and Analytical Detection
- Type
- article
- Field-Weighted Citation Impact
- 1.48
Funders
- National Natural Science Foundation of China
- Government of Jiangsu Province
- Natural Science Foundation of Jiangsu Province
- Nanjing Medical University