Copyright
©The Author(s) 2022.
World J Gastroenterol. Jun 14, 2022; 28(22): 2457-2467
Published online Jun 14, 2022. doi: 10.3748/wjg.v28.i22.2457
Published online Jun 14, 2022. doi: 10.3748/wjg.v28.i22.2457
Table 4 Comparative sensitivity, specificity, and accuracy results of classification branch of object detection network and classification network alone
| SENS | SPEC | ACC | |
| Object detection classify | 0.5839 | 0.8404 | 0.7861 |
| Classification network alone | 0.7400 | 0.9070 | 0.8733 |
- Citation: Liu GS, Huang PY, Wen ML, Zhuang SS, Hua J, He XP. Application of endoscopic ultrasonography for detecting esophageal lesions based on convolutional neural network. World J Gastroenterol 2022; 28(22): 2457-2467
- URL: https://www.wjgnet.com/1007-9327/full/v28/i22/2457.htm
- DOI: https://dx.doi.org/10.3748/wjg.v28.i22.2457