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Automatic differentiation of Grade I and II meningiomas on magnetic resonance image using an asymmetric convolutional neural network.
Vassantachart, April; Cao, Yufeng; Gribble, Michael; Guzman, Samuel; Ye, Jason C; Hurth, Kyle; Mathew, Anna; Zada, Gabriel; Fan, Zhaoyang; Chang, Eric L; Yang, Wensha.
Afiliação
  • Vassantachart A; Department of Radiation Oncology, LAC+USC Medical Center, Los Angeles, CA, USA.
  • Cao Y; Department of Radiation Oncology, Medical Physics Division, Norris Cancer Hospital, Keck School of Medicine, University of Southern California, 1441 Eastlake Ave., Los Angeles, CA, 90033, USA.
  • Gribble M; Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.
  • Guzman S; Department of Pathology, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.
  • Ye JC; Department of Radiation Oncology, Medical Physics Division, Norris Cancer Hospital, Keck School of Medicine, University of Southern California, 1441 Eastlake Ave., Los Angeles, CA, 90033, USA.
  • Hurth K; Department of Pathology, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.
  • Mathew A; Department of Pathology, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.
  • Zada G; Department of Neurological Surgery, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.
  • Fan Z; Department of Radiation Oncology, Medical Physics Division, Norris Cancer Hospital, Keck School of Medicine, University of Southern California, 1441 Eastlake Ave., Los Angeles, CA, 90033, USA.
  • Chang EL; Department of Radiology, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.
  • Yang W; Department of Radiation Oncology, Medical Physics Division, Norris Cancer Hospital, Keck School of Medicine, University of Southern California, 1441 Eastlake Ave., Los Angeles, CA, 90033, USA.
Sci Rep ; 12(1): 3806, 2022 03 09.
Article em En | MEDLINE | ID: mdl-35264655
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Neoplasias Meníngeas / Meningioma Tipo de estudo: Observational_studies Limite: Child / Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article
Texto completo
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PubMed Links
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Neoplasias Meníngeas / Meningioma Tipo de estudo: Observational_studies Limite: Child / Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article