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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 3 Results for the specificity, sensitivity, and F1 score achieved by the 1D-transformer model in the pathology grading task
Classification | Category | Specificity | Sensitivity | F1 score |
Histologic grading | Health | 95.0 | 99.15 | 94.74 |
Low | 98.33 | 83.19 | 89.19 | |
High | 96.62 | 97.52 | 95.55 |
- 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