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An artificial intelligence framework for automatic segmentation and volumetry of vestibular schwannomas from contrast-enhanced T1-weighted and high-resolution T2-weighted MRI.
Shapey, Jonathan; Wang, Guotai; Dorent, Reuben; Dimitriadis, Alexis; Li, Wenqi; Paddick, Ian; Kitchen, Neil; Bisdas, Sotirios; Saeed, Shakeel R; Ourselin, Sebastien; Bradford, Robert; Vercauteren, Tom.
Afiliação
  • Shapey J; 1Wellcome/EPSRC Centre for Interventional and Surgical Sciences, University College London.
  • Wang G; 2Department of Neurosurgery, National Hospital for Neurology and Neurosurgery, London.
  • Dorent R; 3School of Biomedical Engineering & Imaging Sciences, King's College London, United Kingdom.
  • Dimitriadis A; 1Wellcome/EPSRC Centre for Interventional and Surgical Sciences, University College London.
  • Li W; 3School of Biomedical Engineering & Imaging Sciences, King's College London, United Kingdom.
  • Paddick I; 4School of Mechanical and Electrical Engineering, University of Electronic Science and Technology of China, Chengdu, China.
  • Kitchen N; 3School of Biomedical Engineering & Imaging Sciences, King's College London, United Kingdom.
  • Bisdas S; 6Department of Neuroradiology, National Hospital for Neurology and Neurosurgery, London.
  • Saeed SR; 3School of Biomedical Engineering & Imaging Sciences, King's College London, United Kingdom.
  • Ourselin S; 5Queen Square Radiosurgery Centre (Gamma Knife) and.
  • Bradford R; 2Department of Neurosurgery, National Hospital for Neurology and Neurosurgery, London.
  • Vercauteren T; 5Queen Square Radiosurgery Centre (Gamma Knife) and.
J Neurosurg ; 134(1): 171-179, 2019 Dec 06.
Article em En | MEDLINE | ID: mdl-31812137
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Guideline / Prognostic_studies Idioma: En Revista: J Neurosurg Ano de publicação: 2019 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Guideline / Prognostic_studies Idioma: En Revista: J Neurosurg Ano de publicação: 2019 Tipo de documento: Article