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MRI pulse sequence integration for deep-learning-based brain metastases segmentation.
Yi, Darvin; Grøvik, Endre; Tong, Elizabeth; Iv, Michael; Emblem, Kyrre Eeg; Nilsen, Line Brennhaug; Saxhaug, Cathrine; Latysheva, Anna; Jacobsen, Kari Dolven; Helland, Åslaug; Zaharchuk, Greg; Rubin, Daniel.
Afiliación
  • Yi D; Department of Biomedical Data Science, Stanford University, Stanford, California, USA.
  • Grøvik E; Department of Ophthalmology and Visual Sciences, University of Illinois at Chicago, Chicago, Illinois, USA.
  • Tong E; Department for Diagnostic Physics, Oslo University Hospital, Oslo, Norway.
  • Iv M; Department of Radiology, Stanford University, Stanford, California, USA.
  • Emblem KE; Department of Radiology, Stanford University, Stanford, California, USA.
  • Nilsen LB; Department for Diagnostic Physics, Oslo University Hospital, Oslo, Norway.
  • Saxhaug C; Department for Diagnostic Physics, Oslo University Hospital, Oslo, Norway.
  • Latysheva A; Department of Radiology and Nuclear Medicine, Oslo University Hospital, Oslo, Norway.
  • Jacobsen KD; Department of Radiology and Nuclear Medicine, Oslo University Hospital, Oslo, Norway.
  • Helland Å; Department of Oncology, Oslo University Hospital, Oslo, Norway.
  • Zaharchuk G; Department of Oncology, Oslo University Hospital, Oslo, Norway.
  • Rubin D; Department of Radiology, Stanford University, Stanford, California, USA.
Med Phys ; 48(10): 6020-6035, 2021 Oct.
Article en En | MEDLINE | ID: mdl-34405896
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Neoplasias Encefálicas / Aprendizaje Profundo Límite: Humans Idioma: En Revista: Med Phys Año: 2021 Tipo del documento: Article País de afiliación: Estados Unidos
Texto completo
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XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Neoplasias Encefálicas / Aprendizaje Profundo Límite: Humans Idioma: En Revista: Med Phys Año: 2021 Tipo del documento: Article País de afiliación: Estados Unidos