Editorial for “Detecting Adverse Pathology of Prostate Cancer With a Deep Learning Approach Based on a 3D Swin-Transformer Model and Biparametric MRI: A Multicenter Retrospective Study”

Please use this identifier to cite or link to this item: https://hdl.handle.net/10216/154532

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DC Field	Value	Language
dc.creator	Adubeiro, N
dc.creator	Nogueira, ML
dc.date.accessioned	2023-11-14T12:16:16Z	-
dc.date.available	2023-11-14T12:16:16Z	-
dc.date.issued	2023
dc.identifier.issn	1053-1807
dc.identifier.issn	1522-2586
dc.identifier.uri	https://hdl.handle.net/10216/154532	-
dc.description.abstract	[No abstract available]
dc.language.iso	eng
dc.publisher	Wiley
dc.rights	restrictedAccess
dc.title	Editorial for “Detecting Adverse Pathology of Prostate Cancer With a Deep Learning Approach Based on a 3D Swin-Transformer Model and Biparametric MRI: A Multicenter Retrospective Study”
dc.type	Outra Publicação em Revista Científica Internacional
dc.contributor.uporto	Instituto de Saúde Pública da Universidade do Porto
dc.identifier.doi	10.1002/jmri.28956
dc.relation.publisherversion	https://onlinelibrary.wiley.com/doi/10.1002/jmri.28956
Appears in Collections:	ISPUP - Outra Publicação em Revista Científica Internacional

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