©The Author(s) 2025.
World J Gastroenterol. Dec 28, 2025; 31(48): 112683
Published online Dec 28, 2025. doi: 10.3748/wjg.v31.i48.112683
Published online Dec 28, 2025. doi: 10.3748/wjg.v31.i48.112683
Table 7 Comparison of different methods in identifying rectal neuroendocrine tumors from all images based on the lesion as the unit
| Method | Precision | Recall | F1 |
| YOLOv7 | 0.940 | 0.729 | 0.821 |
| YOLOv5 | 0.927 | 0.720 | 0.810 |
- Citation: Liu K, Wang ZY, Yi LZ, Li F, He SH, Zhang XG, Lai CX, Li ZJ, Qiu L, Zhang RY, Wu W, Lin Y, Yang H, Liu GM, Guan QS, Zhao ZF, Cheng LM, Dai J, Bai Y, Xie F, Zhang MN, Chen SZ, Zhong XF. Artificial intelligence-assisted diagnosis of rectal neuroendocrine tumors during white-light endoscopy. World J Gastroenterol 2025; 31(48): 112683
- URL: https://www.wjgnet.com/1007-9327/full/v31/i48/112683.htm
- DOI: https://dx.doi.org/10.3748/wjg.v31.i48.112683