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Conference Paper: Training, validation and testing of a multiscale three-dimensional deep learning algorithm in accurately diagnosing hepatocellular carcinoma on computed tomography

TitleTraining, validation and testing of a multiscale three-dimensional deep learning algorithm in accurately diagnosing hepatocellular carcinoma on computed tomography
Authors
Issue Date2022
PublisherElsevier BV.
Citation
International Liver Congress, European Association for the Study of the Liver (EASL), London & Online, 22-26 June 2022. In Journal of Hepatology. Volume 77. Supplement 1, Abstracts of The International Liver Congress: London, United Kingdom, 22-26 June 2022, p. S78-S79 How to Cite?
DescriptionAbstract supplement was supported by the European Association for the Study of the Liver (EASL)
Oral Presentations OS105
Persistent Identifierhttp://hdl.handle.net/10722/314914

 

DC FieldValueLanguage
dc.contributor.authorSeto, WKW-
dc.contributor.authorChiu, WHK-
dc.contributor.authorCao, W-
dc.contributor.authorLui, G-
dc.contributor.authorZhou, J-
dc.contributor.authorCheng, HM-
dc.contributor.authorWu, J-
dc.contributor.authorShen, X-
dc.contributor.authorMak, LY-
dc.contributor.authorHuang, J-
dc.contributor.authorLi, WK-
dc.contributor.authorYuen, RMF-
dc.contributor.authorYu, PLH-
dc.date.accessioned2022-08-05T09:36:52Z-
dc.date.available2022-08-05T09:36:52Z-
dc.date.issued2022-
dc.identifier.citationInternational Liver Congress, European Association for the Study of the Liver (EASL), London & Online, 22-26 June 2022. In Journal of Hepatology. Volume 77. Supplement 1, Abstracts of The International Liver Congress: London, United Kingdom, 22-26 June 2022, p. S78-S79-
dc.identifier.urihttp://hdl.handle.net/10722/314914-
dc.descriptionAbstract supplement was supported by the European Association for the Study of the Liver (EASL)-
dc.descriptionOral Presentations OS105-
dc.languageeng-
dc.publisherElsevier BV.-
dc.relation.ispartofJournal of Hepatology. Volume 77. Supplement 1, Abstracts of The International Liver Congress: London, United Kingdom, 22-26 June 2022-
dc.titleTraining, validation and testing of a multiscale three-dimensional deep learning algorithm in accurately diagnosing hepatocellular carcinoma on computed tomography-
dc.typeConference_Paper-
dc.identifier.emailSeto, WKW: wkseto@hku.hk-
dc.identifier.emailCao, W: wmingcao@hku.hk-
dc.identifier.emailCheng, HM: hmcheng@hku.hk-
dc.identifier.emailMak, LY: lungyi@hku.hk-
dc.identifier.emailYuen, RMF: mfyuen@hku.hk-
dc.identifier.emailYu, PLH: plhyu@hku.hk-
dc.identifier.authoritySeto, WKW=rp01659-
dc.identifier.authorityChiu, WHK=rp02074-
dc.identifier.authorityMak, LY=rp02668-
dc.identifier.authorityYuen, RMF=rp00479-
dc.identifier.authorityYu, PLH=rp00835-
dc.identifier.hkuros334948-
dc.identifier.volume77, Suppl. 1-
dc.identifier.spageS78-
dc.identifier.epageS79-
dc.publisher.placeNetherlands-

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