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Deep learning in the detection of high-grade glioma recurrence using multiple MRI sequences: A pilot study.
Bacchi, Stephen; Zerner, Toby; Dongas, John; Asahina, Adon Toru; Abou-Hamden, Amal; Otto, Sophia; Oakden-Rayner, Luke; Patel, Sandy.
Affiliation
  • Bacchi S; Royal Adelaide Hospital, South Australia, Australia. Electronic address: stephen.bacchi@sa.gov.au.
  • Zerner T; Royal Adelaide Hospital, South Australia, Australia; University of Adelaide, South Australia, Australia.
  • Dongas J; University of Adelaide, South Australia, Australia.
  • Asahina AT; University of Adelaide, South Australia, Australia.
  • Abou-Hamden A; Royal Adelaide Hospital, South Australia, Australia; University of Adelaide, South Australia, Australia.
  • Otto S; Royal Adelaide Hospital, South Australia, Australia.
  • Oakden-Rayner L; Royal Adelaide Hospital, South Australia, Australia; University of Adelaide, South Australia, Australia.
  • Patel S; Royal Adelaide Hospital, South Australia, Australia.
J Clin Neurosci ; 70: 11-13, 2019 Dec.
Article in En | MEDLINE | ID: mdl-31648967
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Brain Neoplasms / Magnetic Resonance Imaging / Image Interpretation, Computer-Assisted / Deep Learning / Glioma / Neoplasm Recurrence, Local Type of study: Diagnostic_studies / Prognostic_studies Limits: Adult / Aged / Female / Humans / Male / Middle aged Language: En Journal: J Clin Neurosci Journal subject: NEUROLOGIA Year: 2019 Type: Article
Fulltext
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PubMed Links
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Brain Neoplasms / Magnetic Resonance Imaging / Image Interpretation, Computer-Assisted / Deep Learning / Glioma / Neoplasm Recurrence, Local Type of study: Diagnostic_studies / Prognostic_studies Limits: Adult / Aged / Female / Humans / Male / Middle aged Language: En Journal: J Clin Neurosci Journal subject: NEUROLOGIA Year: 2019 Type: Article