Weakly supervised semantic segmentation for MRI: exploring the advantages and disadvantages of class activation maps for biological image segmentation with soft boundaries

dc.contributor.author	Syed, Shaheen
dc.contributor.author	Anderssen, Kathryn Elizabeth
dc.contributor.author	Stormo, Svein Kristian
dc.contributor.author	Kranz, Mathias
dc.date.accessioned	2023-02-20T09:22:04Z
dc.date.available	2023-02-20T09:22:04Z
dc.date.created	2023-02-17T14:36:55Z
dc.date.issued	2023
dc.identifier.issn	2045-2322
dc.identifier.uri	https://hdl.handle.net/11250/3052214
dc.language.iso	eng
dc.title	Weakly supervised semantic segmentation for MRI: exploring the advantages and disadvantages of class activation maps for biological image segmentation with soft boundaries
dc.title.alternative	Weakly supervised semantic segmentation for MRI: exploring the advantages and disadvantages of class activation maps for biological image segmentation with soft boundaries
dc.type	Peer reviewed
dc.type	Journal article
dc.description.version	publishedVersion
dc.source.volume	13
dc.source.journal	Scientific Reports
dc.identifier.doi	10.1038/s41598-023-29665-y
dc.identifier.cristin	2127050
cristin.ispublished	true
cristin.fulltext	original
cristin.qualitycode	1