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©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