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Cited by in F6Publishing
For: Lui TKL, Wong KKY, Mak LLY, To EWP, Tsui VWM, Deng Z, Guo J, Ni L, Cheung MKS, Leung WK. Feedback from artificial intelligence improved the learning of junior endoscopists on histology prediction of gastric lesions. Endosc Int Open. 2020;8:E139-E146. [PMID: 32010746 DOI: 10.1055/a-1036-6114] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 1.5] [Reference Citation Analysis]
Number Citing Articles
1 Lui TKL, Tsui VWM, Leung WK. Accuracy of artificial intelligence-assisted detection of upper GI lesions: a systematic review and meta-analysis. Gastrointest Endosc. 2020;92:821-830.e9. [PMID: 32562608 DOI: 10.1016/j.gie.2020.06.034] [Cited by in Crossref: 17] [Cited by in F6Publishing: 15] [Article Influence: 8.5] [Reference Citation Analysis]
2 Zhao Y, Hu B, Wang Y, Yin X, Jiang Y, Zhu X. Identification of gastric cancer with convolutional neural networks: a systematic review. Multimed Tools Appl. [DOI: 10.1007/s11042-022-12258-8] [Reference Citation Analysis]
3 Al Mouiee D, Meijering E, Kalloniatis M, Nivison-Smith L, Williams RA, Nayagam DAX, Spencer TC, Luu CD, McGowan C, Epp SB, Shivdasani MN. Classifying Retinal Degeneration in Histological Sections Using Deep Learning. Transl Vis Sci Technol 2021;10:9. [PMID: 34110385 DOI: 10.1167/tvst.10.7.9] [Reference Citation Analysis]
4 Zhuang H, Bao A, Tan Y, Wang H, Xie Q, Qiu M, Xiong W, Liao F. Application and prospect of artificial intelligence in digestive endoscopy. Expert Rev Gastroenterol Hepatol 2021;:1-11. [PMID: 34937459 DOI: 10.1080/17474124.2022.2020646] [Reference Citation Analysis]
5 Yan T, Wong PK, Qin YY. Deep learning for diagnosis of precancerous lesions in upper gastrointestinal endoscopy: A review. World J Gastroenterol 2021; 27(20): 2531-2544 [PMID: 34092974 DOI: 10.3748/wjg.v27.i20.2531] [Reference Citation Analysis]