Your browser doesn't support javascript.
loading
Automated segmentation of magnetic resonance bone marrow signal: a feasibility study.
von Brandis, Elisabeth; Jenssen, Håvard B; Avenarius, Derk F M; Bjørnerud, Atle; Flatø, Berit; Tomterstad, Anders H; Lilleby, Vibke; Rosendahl, Karen; Sakinis, Tomas; Zadig, Pia K K; Müller, Lil-Sofie Ording.
Afiliación
  • von Brandis E; Division of Radiology and Nuclear Medicine, Oslo University Hospital, Sognsvannsveien 20, 0372, Oslo, Norway. elivon@ous-hf.no.
  • Jenssen HB; Department of Medicine, Institute of Clinical Medicine, University of Oslo, Oslo, Norway. elivon@ous-hf.no.
  • Avenarius DFM; Division of Radiology and Nuclear Medicine, Oslo University Hospital, Sognsvannsveien 20, 0372, Oslo, Norway.
  • Bjørnerud A; Department of Radiology, University Hospital of North-Norway, Tromsø, Norway.
  • Flatø B; Department of Health Sciences, University of Tromsø, Tromsø, Norway.
  • Tomterstad AH; Division of Radiology and Nuclear Medicine, Oslo University Hospital, Sognsvannsveien 20, 0372, Oslo, Norway.
  • Lilleby V; Department of Physics, University of Oslo, Oslo, Norway.
  • Rosendahl K; Department of Medicine, Institute of Clinical Medicine, University of Oslo, Oslo, Norway.
  • Sakinis T; Department of Rheumatology, Oslo University Hospital, Oslo, Norway.
  • Zadig PKK; Division of Radiology and Nuclear Medicine, Oslo University Hospital, Sognsvannsveien 20, 0372, Oslo, Norway.
  • Müller LO; Department of Rheumatology, Oslo University Hospital, Oslo, Norway.
Pediatr Radiol ; 52(6): 1104-1114, 2022 05.
Article en En | MEDLINE | ID: mdl-35107593

Texto completo: 1 Base de datos: MEDLINE Asunto principal: Aprendizaje Profundo Tipo de estudio: Clinical_trials / Observational_studies / Prognostic_studies Idioma: En Revista: Pediatr Radiol Año: 2022 Tipo del documento: Article

Texto completo: 1 Base de datos: MEDLINE Asunto principal: Aprendizaje Profundo Tipo de estudio: Clinical_trials / Observational_studies / Prognostic_studies Idioma: En Revista: Pediatr Radiol Año: 2022 Tipo del documento: Article