Your browser doesn't support javascript.
loading
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.
Affiliation
  • 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 in En | MEDLINE | ID: mdl-35264655
Subject(s)
Fulltext
Add to My VHL
Print
XML
PubMed Links
Search on Google

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Meningeal Neoplasms / Meningioma Type of study: Observational_studies Limits: Child / Humans Language: En Journal: Sci Rep Year: 2022 Document type: Article Affiliation country: United States Country of publication: United kingdom
Fulltext
Add to My VHL
Print
XML
PubMed Links
Search on Google

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Meningeal Neoplasms / Meningioma Type of study: Observational_studies Limits: Child / Humans Language: En Journal: Sci Rep Year: 2022 Document type: Article Affiliation country: United States Country of publication: United kingdom