©The Author(s) 2025.
World J Gastroenterol. Apr 14, 2025; 31(14): 104280
Published online Apr 14, 2025. doi: 10.3748/wjg.v31.i14.104280
Published online Apr 14, 2025. doi: 10.3748/wjg.v31.i14.104280
Table 1 Summaries of the fundamental information of enrolled subjects and the corresponding number of collected Raman spectra
| Patient information | Number of patients | Number of spectra | |
| Age | < 60 years | 24 | |
| ≥ 60 years | 66 | ||
| Gender | Male | 59 | |
| Female | 31 | ||
| Test site | Neck | 2 | |
| Upper | 24 | ||
| Middle | 40 | ||
| Lower | 16 | ||
| Histological grading | Health | 30 | 120 |
| Low grade | 30 | 120 | |
| High grade | 30 | 120 | |
- Citation: Yu XY, Chen J, Li LY, Chen FE, He Q. Rapid pathologic grading-based diagnosis of esophageal squamous cell carcinoma via Raman spectroscopy and a deep learning algorithm. World J Gastroenterol 2025; 31(14): 104280
- URL: https://www.wjgnet.com/1007-9327/full/v31/i14/104280.htm
- DOI: https://dx.doi.org/10.3748/wjg.v31.i14.104280