Please use this identifier to cite or link to this item: https://hdl.handle.net/10216/107791
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dc.contributor.editorM. Jorge Cardoso
dc.contributor.editorTal Arbel
dc.contributor.editorGustavo Carneiro
dc.contributor.editorTanveer Syeda-Mahmood
dc.contributor.editorJoão Manuel R. S. Tavares
dc.contributor.editorMehdi Moradi
dc.contributor.editorAndrew Bradley
dc.contributor.editorHayit Greenspan
dc.contributor.editorJoão Paulo Papa
dc.contributor.editorAnant Madabhushi
dc.contributor.editorJacinto C. Nascimento
dc.contributor.editorJaime S. Cardoso
dc.contributor.editorVasileios Belagiannis
dc.contributor.editorZhi Lu
dc.date.accessioned2019-09-10T23:12:35Z-
dc.date.available2019-09-10T23:12:35Z-
dc.date.issued2017-10
dc.identifier.othersigarra:219521
dc.identifier.urihttps://hdl.handle.net/10216/107791-
dc.language.isopor
dc.rightsopenAccess
dc.subjectCiências Tecnológicas, Ciências da engenharia e tecnologias
dc.subjectTechnological sciences, Engineering and technology
dc.titleDeep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support
dc.typeLivro de Atas de Conferência Internacional
dc.contributor.uportoFaculdade de Engenharia
dc.identifier.doi10.1007/978-3-319-67558-9
dc.subject.fosCiências da engenharia e tecnologias
dc.subject.fosEngineering and technology
Appears in Collections:FEUP - Livro de Atas de Conferência Internacional

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