Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/114671
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dc.contributorDepartment of Health Technology and Informaticsen_US
dc.creatorPang, Yen_US
dc.creatorRen, GGen_US
dc.creatorTang, RSYen_US
dc.creatorChu, Wen_US
dc.creatorChiyanika, Cen_US
dc.date.accessioned2025-08-19T03:42:36Z-
dc.date.available2025-08-19T03:42:36Z-
dc.identifier.issn0017-5749en_US
dc.identifier.urihttp://hdl.handle.net/10397/114671-
dc.descriptionInternational Digestive Disease Forum (IDDF), Hong Kong, 5 - 6 July 2025en_US
dc.language.isoenen_US
dc.publisherBMJ Groupen_US
dc.rights© Author(s) (or their employer(s)) 2025. No commercial re-use. See rights and permissions. Published by BMJ Group.en_US
dc.rightsThe following publication Pang Y, Ren GG, Tang RS, et al. IDDF2025-ABS-0218 Automated multiparametric pancreatic magnetic resonance images segmentation and fat quantification using transunet. Gut 2025;74 (suppl 3):A165-A168 is first published by BMJ and is available at https://dx.doi.org/10.1136/gutjnl-2025-IDDF.93.en_US
dc.titleAutomated multiparametric pancreatic magnetic resonance images segmentation and fat quantification using TransUNeten_US
dc.typeOther Conference Contributionsen_US
dc.identifier.spageA165en_US
dc.identifier.epageA168en_US
dc.identifier.volume74en_US
dc.identifier.doi10.1136/gutjnl-2025-IDDF.93en_US
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationGut, July 2025, v. 74, suppl. 3, p. A165-A168 (IDDF2025-ABS-0218) (Abstracts)en_US
dcterms.isPartOfGuten_US
dcterms.issued2025-07-
dc.relation.conferenceInternational Digestive Disease Forum [IDDF]en_US
dc.identifier.eissn1468-3288en_US
dc.description.validate202508 bcchen_US
dc.description.oaAccepted Manuscripten_US
dc.identifier.FolderNumbera3981-
dc.identifier.SubFormID51866-
dc.description.fundingSourceOthersen_US
dc.description.fundingTextThe Hong Kong Polytechnic Universityen_US
dc.description.pubStatusPublisheden_US
dc.description.oaCategoryGreen (AAM)en_US
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