| For: | 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 [PMID: 35979257 DOI: 10.3748/wjg.v28.i22.2457] |
|---|---|
| URL: | https://www.wjgnet.com/1007-9327/full/v28/i22/2457.htm |
| Number | Citing Articles |
| 1 |
Kun Yin, Hao Liang, Wen Guo, Ya-Xin Chen, Man-Li Cui, Ming-Xin Zhang. Artificial intelligence and early cancer of the digestive tract: New challenges and new futures. World Chinese Journal of Digestology 2025; 33(1): 1 doi: 10.11569/wcjd.v33.i1.1
|
| 2 |
Deyu Zhang, Chang Wu, Zhenghui Yang, Hua Yin, Yue Liu, Wanshun Li, Haojie Huang, Zhendong Jin. The application of artificial intelligence in EUS. Endoscopic Ultrasound 2024; 13(2): 65 doi: 10.1097/eus.0000000000000053
|
| 3 |
Xiaohan Cai, Zexin Zhang, Siqi Zhao, Wentian Liu, Xiaofei Fan. Application of Explainable Artificial Intelligence Based on Visual Explanation in Digestive Endoscopy. Bioengineering 2025; 12(10): 1058 doi: 10.3390/bioengineering12101058
|
| 4 |
Yang-Yang Wang, Bin Liu, Ji-Han Wang. Application of deep learning-based convolutional neural networks in gastrointestinal disease endoscopic examination. World Journal of Gastroenterology 2025; 31(36): 111137 doi: 10.3748/wjg.v31.i36.111137
|
