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Cited by in F6Publishing
For: Sánchez-Montes C, Bernal J, García-Rodríguez A, Córdova H, Fernández-Esparrach G. Review of computational methods for the detection and classification of polyps in colonoscopy imaging. Gastroenterol Hepatol 2020;43:222-32. [PMID: 32143918 DOI: 10.1016/j.gastrohep.2019.11.004] [Cited by in Crossref: 1] [Cited by in F6Publishing: 2] [Article Influence: 0.5] [Reference Citation Analysis]
Number Citing Articles
1 El-Nakeep S, El-Nakeep M. Artificial intelligence for cancer detection in upper gastrointestinal endoscopy, current status, and future aspirations. Artif Intell Gastroenterol 2021; 2(5): 124-132 [DOI: 10.35712/aig.v2.i5.124] [Reference Citation Analysis]
2 Zhang Y, Zhang X, Wu Q, Gu C, Wang Z. Artificial Intelligence-Aided Colonoscopy for Polyp Detection: A Systematic Review and Meta-Analysis of Randomized Clinical Trials. J Laparoendosc Adv Surg Tech A 2021. [PMID: 33524298 DOI: 10.1089/lap.2020.0777] [Cited by in Crossref: 3] [Cited by in F6Publishing: 2] [Article Influence: 3.0] [Reference Citation Analysis]
3 Aguilera-Chuchuca MJ, Sánchez-Luna SA, González Suárez B, Ernest-Suárez K, Gelrud A, Berzin TM. The emerging role of artificial intelligence in gastrointestinal endoscopy: A review. Gastroenterol Hepatol 2021:S0210-5705(21)00309-5. [PMID: 34793895 DOI: 10.1016/j.gastrohep.2021.11.004] [Reference Citation Analysis]