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Article: MASS: Modality-collaborative semi-supervised segmentation by exploiting cross-modal consistency from unpaired CT and MRI images

TitleMASS: Modality-collaborative semi-supervised segmentation by exploiting cross-modal consistency from unpaired CT and MRI images
Authors
Chen, XZHOU, HLiu, FGuo, JWang, LYu, Y
Issue Date2022
PublisherElsevier. The Journal's web site is located at http://www.elsevier.com/locate/media
Citation
Medical Image Analysis, 2022, Volume 80,, p. Article 102506 How to Cite?
DOI: http://dx.doi.org/10.1016/j.media.2022.102506
Persistent Identifierhttp://hdl.handle.net/10722/316386
ISI Accession Number ID
WOS:000871059300005

 

DC FieldValueLanguage
dc.contributor.authorChen, X-
dc.contributor.authorZHOU, H-
dc.contributor.authorLiu, F-
dc.contributor.authorGuo, J-
dc.contributor.authorWang, L-
dc.contributor.authorYu, Y-
dc.date.accessioned2022-09-02T06:10:34Z-
dc.date.available2022-09-02T06:10:34Z-
dc.date.issued2022-
dc.identifier.citationMedical Image Analysis, 2022, Volume 80,, p. Article 102506-
dc.identifier.urihttp://hdl.handle.net/10722/316386-
dc.languageeng-
dc.publisherElsevier. The Journal's web site is located at http://www.elsevier.com/locate/media-
dc.relation.ispartofMedical Image Analysis-
dc.titleMASS: Modality-collaborative semi-supervised segmentation by exploiting cross-modal consistency from unpaired CT and MRI images-
dc.typeArticle-
dc.identifier.emailYu, Y: yzyu@cs.hku.hk-
dc.identifier.authorityYu, Y=rp01415-
dc.identifier.doi10.1016/j.media.2022.102506-
dc.identifier.hkuros336329-
dc.identifier.volumeVolume 80,-
dc.identifier.spageArticle 102506-
dc.identifier.epageArticle 102506-
dc.identifier.isiWOS:000871059300005-

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