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dc.contributor.authorBhattarai, Binod
dc.contributor.authorSubedi, Ronast
dc.contributor.authorGaire, Rebati Raman
dc.contributor.authorVazquez, Eduard
dc.contributor.authorStoyanov, Danail
dc.date.accessioned2023-01-24T16:31:00Z
dc.date.available2023-01-24T16:31:00Z
dc.date.issued2023-01-13
dc.identifier.citationBhattarai , B , Subedi , R , Gaire , R R , Vazquez , E & Stoyanov , D 2023 , ' Histogram of Oriented Gradients meet deep learning : A novel multi-task deep network for 2D surgical image semantic segmentation ' , Medical Image Analysis . https://doi.org/10.1016/j.media.2023.102747en
dc.identifier.issn1361-8415
dc.identifier.otherPURE: 226664705
dc.identifier.otherPURE UUID: d7ea126d-0902-4fa2-a9f4-efc1b436195f
dc.identifier.otherRIS: urn:845B52842ECBA2397D4480716BA2E74F
dc.identifier.urihttps://hdl.handle.net/2164/19891
dc.descriptionAcknowledgment This research was funded in whole, or in part, by the Wellcome/EPSRC Centre for Interventional and Surgical Sciences (WEISS)[203145/Z/16/Z]; the Engineering and Physical Sciences Research Council (EPSRC) [EP/P027938/1, EP/R004080/1, EP/P012841/1]; and the Royal Academy of Engineering Chair in Emerging Technologies Scheme; and EndoMapper project by Horizon 2020 FET (GA 863146). For the purpose of open access, the author has applied a CC BY public copyright licence to any author accepted manuscript version arising from this submission.en
dc.language.isoeng
dc.relation.ispartofMedical Image Analysisen
dc.rightsUnder a Creative Commons licenseen
dc.subjectSemantic segmentationen
dc.subjectMulti-task learningen
dc.subjectSelf-supervised learningen
dc.subjectHistogram of Oriented Gradientsen
dc.subjectR Medicineen
dc.subjectEngineering and Physical Sciences Research Council (EPSRC)en
dc.subjectEP/P027938/1en
dc.subjectEP/R004080/1en
dc.subjectEP/P012841/1en
dc.subjectEuropean Commissionen
dc.subjectGA 863146en
dc.subjectWellcome Trusten
dc.subject203145/Z/16/Zen
dc.subjectSupplementary Dataen
dc.subject.lccRen
dc.titleHistogram of Oriented Gradients meet deep learning : A novel multi-task deep network for 2D surgical image semantic segmentationen
dc.typeJournal articleen
dc.contributor.institutionUniversity of Aberdeen.Computing Scienceen
dc.description.statusPeer revieweden
dc.description.versionproofen
dc.identifier.doihttps://doi.org/10.1016/j.media.2023.102747
dc.identifier.urlhttps://www.sciencedirect.com/science/article/pii/S1361841523000087en


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