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Enhancing the Prediction of Lung Cancer Survival Rates Using 2D Features from 3D Scans

dc.contributor.authorGhani, Tahira
dc.contributor.authorOommen, John
dc.date.accessioned2021-03-24T11:04:15Z
dc.date.available2021-03-24T11:04:15Z
dc.date.created2021-01-28T17:41:03Z
dc.date.issued2020
dc.identifier.citationGhani, T. & Oommen, J. (2020). Enhancing the Prediction of Lung Cancer Survival Rates Using 2D Features from 3D Scans. In A. Campilho, F Karray & Z. Wang (Eds), Image Analysis and Recognition (Lecture Notes in Computer Science, 12132, p. 202-215).en_US
dc.identifier.isbn978-3-030-50515-8
dc.identifier.issn0302-9743
dc.identifier.urihttps://hdl.handle.net/11250/2735266
dc.descriptionAuthor's accepted manuscript.en_US
dc.descriptionAvailable from 18/06/2021.
dc.language.isoengen_US
dc.publisherSpringeren_US
dc.relation.ispartofseriesLecture Notes in Computer Science; vol. 12132
dc.titleEnhancing the Prediction of Lung Cancer Survival Rates Using 2D Features from 3D Scansen_US
dc.typeChapteren_US
dc.typePeer revieweden_US
dc.description.versionacceptedVersionen_US
dc.subject.nsiVDP::Teknologi: 500::Informasjons- og kommunikasjonsteknologi: 550en_US
dc.source.pagenumber202-215en_US
dc.source.volume12132en_US
dc.identifier.doihttps://doi.org/10.1007/978-3-030-50516-5_18
dc.identifier.cristin1881601
dc.relation.projectUniversitetet i Agder: CAIRen_US
cristin.qualitycode1


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