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Development and validation of a deep learning model for prediction of intracranial aneurysm rupture risk based on multi-omics factor.
Turhon, Mirzat; Li, Mengxing; Kang, Huibin; Huang, Jiliang; Zhang, Fujunhui; Zhang, Ying; Zhang, Yisen; Maimaiti, Aierpati; Gheyret, Dilmurat; Axier, Aximujiang; Aisha, Miamaitili; Yang, Xinjian; Liu, Jian.
Afiliação
  • Turhon M; Department of Interventional Neuroradiology, Beijing Neurosurgical Institute, Capital Medical University, Beijing, 100070, People's Republic of China.
  • Li M; Department of Neurosurgery, Beijing TianTan Hospital, Capital Medical University, Beijing, People's Republic of China.
  • Kang H; Department of Interventional Neuroradiology, Beijing Neurosurgical Institute, Capital Medical University, Beijing, 100070, People's Republic of China.
  • Huang J; Department of Neurosurgery, Beijing TianTan Hospital, Capital Medical University, Beijing, People's Republic of China.
  • Zhang F; Department of Interventional Neuroradiology, Beijing Neurosurgical Institute, Capital Medical University, Beijing, 100070, People's Republic of China.
  • Zhang Y; Department of Neurosurgery, Beijing TianTan Hospital, Capital Medical University, Beijing, People's Republic of China.
  • Zhang Y; Department of Interventional Neuroradiology, Beijing Neurosurgical Institute, Capital Medical University, Beijing, 100070, People's Republic of China.
  • Maimaiti A; Department of Neurosurgery, Beijing TianTan Hospital, Capital Medical University, Beijing, People's Republic of China.
  • Gheyret D; Department of Interventional Neuroradiology, Beijing Neurosurgical Institute, Capital Medical University, Beijing, 100070, People's Republic of China.
  • Axier A; Department of Neurosurgery, Beijing TianTan Hospital, Capital Medical University, Beijing, People's Republic of China.
  • Aisha M; Department of Interventional Neuroradiology, Beijing Neurosurgical Institute, Capital Medical University, Beijing, 100070, People's Republic of China.
  • Yang X; Department of Neurosurgery, Beijing TianTan Hospital, Capital Medical University, Beijing, People's Republic of China.
  • Liu J; Department of Interventional Neuroradiology, Beijing Neurosurgical Institute, Capital Medical University, Beijing, 100070, People's Republic of China.
Eur Radiol ; 33(10): 6759-6770, 2023 Oct.
Article em En | MEDLINE | ID: mdl-37099175
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Aneurisma Intracraniano / Aneurisma Roto / Aprendizado Profundo Idioma: En Ano de publicação: 2023 Tipo de documento: Article
Texto completo
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XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Aneurisma Intracraniano / Aneurisma Roto / Aprendizado Profundo Idioma: En Ano de publicação: 2023 Tipo de documento: Article