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Cited by in CrossRef
For: Hsiao YJ, Wen YC, Lai WY, Lin YY, Yang YP, Chien Y, Yarmishyn AA, Hwang DK, Lin TC, Chang YC, Lin TY, Chang KJ, Chiou SH, Jheng YC. Application of artificial intelligence-driven endoscopic screening and diagnosis of gastric cancer. World J Gastroenterol 2021; 27(22): 2979-2993 [PMID: 34168402 DOI: 10.3748/wjg.v27.i22.2979]
URL: https://www.wjgnet.com/1007-9327/full/v27/i22/2979.htm
Number Citing Articles
1
Pengfei Wang, Yunqi Li, Yaru Sun, Dongzhi He, Zhiqiang Wang. Multi-scale boundary neural network for gastric tumor segmentationThe Visual Computer 2022;  doi: 10.1007/s00371-021-02374-1
2
Shuang Zhang, Mairu Liu. Artificial Intelligence Technology in the Video Production of the Course "Horse Anatomy and Physiology"2021 3rd International Conference on Artificial Intelligence and Advanced Manufacture 2021; : 2770 doi: 10.1145/3495018.3501179
3
Darina Kohoutova, Matthew Banks, Jan Bures. Advances in the Aetiology & Endoscopic Detection and Management of Early Gastric CancerCancers 2021; 13(24): 6242 doi: 10.3390/cancers13246242
4
Zili Xiao, Danian Ji, Feng Li, Zhengliang Li, Zhijun Bao. Application of Artificial Intelligence in Early Gastric Cancer DiagnosisDigestion 2022; 103(1): 69 doi: 10.1159/000519601