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Article: A novel artificial intelligence–assisted gastric dysplasia detection model to streamline its removal via endoscopic submucosal dissection

TitleA novel artificial intelligence–assisted gastric dysplasia detection model to streamline its removal via endoscopic submucosal dissection
Authors
Lui, Thomas K.L.
Issue Date2024
Citation
Gastrointestinal Endoscopy, 2024, v. 100, n. 1, p. 144-145 How to Cite?
DOI: http://dx.doi.org/10.1016/j.gie.2024.01.019
Persistent Identifierhttp://hdl.handle.net/10722/352444
ISSN
0016-5107
2023 Impact Factor: 6.7
2023 SCImago Journal Rankings: 1.749

 

DC FieldValueLanguage
dc.contributor.authorLui, Thomas K.L.-
dc.date.accessioned2024-12-16T03:58:59Z-
dc.date.available2024-12-16T03:58:59Z-
dc.date.issued2024-
dc.identifier.citationGastrointestinal Endoscopy, 2024, v. 100, n. 1, p. 144-145-
dc.identifier.issn0016-5107-
dc.identifier.urihttp://hdl.handle.net/10722/352444-
dc.languageeng-
dc.relation.ispartofGastrointestinal Endoscopy-
dc.titleA novel artificial intelligence–assisted gastric dysplasia detection model to streamline its removal via endoscopic submucosal dissection-
dc.typeArticle-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1016/j.gie.2024.01.019-
dc.identifier.pmid38253212-
dc.identifier.scopuseid_2-s2.0-85195634134-
dc.identifier.volume100-
dc.identifier.issue1-
dc.identifier.spage144-
dc.identifier.epage145-
dc.identifier.eissn1097-6779-

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