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Deep learning can yield clinically useful right ventricular segmentations faster than fully manual analysis.
Åkesson, Julius; Ostenfeld, Ellen; Carlsson, Marcus; Arheden, Håkan; Heiberg, Einar.
Affiliation
  • Åkesson J; Clinical Physiology, Department of Clinical Sciences Lund, Lund University, Skåne University Hospital, Lund, Sweden. julius.akesson@med.lu.se.
  • Ostenfeld E; Department of Biomedical Engineering, Faculty of Engineering, Lund University, Lund, Sweden. julius.akesson@med.lu.se.
  • Carlsson M; Clinical Physiology, Department of Clinical Sciences Lund, Lund University, Skåne University Hospital, Lund, Sweden.
  • Arheden H; Clinical Physiology, Department of Clinical Sciences Lund, Lund University, Skåne University Hospital, Lund, Sweden.
  • Heiberg E; Clinical Physiology, Department of Clinical Sciences Lund, Lund University, Skåne University Hospital, Lund, Sweden.
Sci Rep ; 13(1): 1216, 2023 01 21.
Article in En | MEDLINE | ID: mdl-36681759
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Deep Learning / Heart Diseases Type of study: Guideline Limits: Humans Language: En Journal: Sci Rep Year: 2023 Document type: Article Affiliation country: Suecia Country of publication: Reino Unido
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Deep Learning / Heart Diseases Type of study: Guideline Limits: Humans Language: En Journal: Sci Rep Year: 2023 Document type: Article Affiliation country: Suecia Country of publication: Reino Unido