Publisher Correction: Deep learning algorithm performs similarly to radiologists in the assessment of prostate volume on MRI.

Thimansson, Erik; Bengtsson, J; Baubeta, E; Engman, J; Flondell-Sité, D; Bjartell, A; Zackrisson, S

Thimansson, Erik; Bengtsson, J; Baubeta, E; Engman, J; Flondell-Sité, D; Bjartell, A; Zackrisson, S.

Afiliação

Thimansson E; Department of Translational Medicine, Diagnostic Radiology, Lund University, Carl-Bertil Laurells gata 9, SE-205 02, Malmö, Sweden. per_erik.thimansson@med.lu.se.
Bengtsson J; Department of Radiology, Helsingborg Hospital, Helsingborg, Sweden. per_erik.thimansson@med.lu.se.
Baubeta E; Department of Clinical Sciences, Diagnostic Radiology, Lund University, Lund, Sweden.
Engman J; Department of Imaging and Functional Medicine, Skåne University Hospital, Malmö, Sweden.
Flondell-Sité D; Department of Imaging and Functional Medicine, Skåne University Hospital, Lund, Sweden.
Bjartell A; Department of Translational Medicine, Diagnostic Radiology, Lund University, Carl-Bertil Laurells gata 9, SE-205 02, Malmö, Sweden.
Zackrisson S; Department of Imaging and Functional Medicine, Skåne University Hospital, Malmö, Sweden.

Eur Radiol ; 33(4): 3004, 2023 Apr.

Article em En | MEDLINE | ID: mdl-36474058

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Eur Radiol Assunto da revista: RADIOLOGIA Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Suécia

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