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A Deep Neural Network-Based Model Predicting Peritumoral Edema After Radiosurgery for Meningioma.
Kim, Kyung Hwan; Jung, Sangkeun; Lee, Han-Joo; Kwon, Hyon-Jo; Choi, Seung-Won; Koh, Hyeon-Song; Youm, Jin-Young; Kim, Seon-Hwan.
Afiliação
  • Kim KH; Department of Neurosurgery, Chungnam National University Hospital, Chungnam National University School of Medicine, Daejeon, South Korea.
  • Jung S; Computer Science and Engineering, Chungnam National University, Daejeon, South Korea.
  • Lee HJ; Department of Neurosurgery, Chungnam National University Hospital, Chungnam National University School of Medicine, Daejeon, South Korea.
  • Kwon HJ; Department of Neurosurgery, Chungnam National University Hospital, Chungnam National University School of Medicine, Daejeon, South Korea.
  • Choi SW; Department of Neurosurgery, Chungnam National University Hospital, Chungnam National University School of Medicine, Daejeon, South Korea.
  • Koh HS; Department of Neurosurgery, Chungnam National University Hospital, Chungnam National University School of Medicine, Daejeon, South Korea.
  • Youm JY; Department of Neurosurgery, Chungnam National University Hospital, Chungnam National University School of Medicine, Daejeon, South Korea.
  • Kim SH; Department of Neurosurgery, Chungnam National University Hospital, Chungnam National University School of Medicine, Daejeon, South Korea. Electronic address: neons@cnu.ac.kr.
World Neurosurg ; 164: e280-e289, 2022 08.
Article em En | MEDLINE | ID: mdl-35526813
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Radiocirurgia / Neoplasias Meníngeas / Meningioma Idioma: En Ano de publicação: 2022 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Radiocirurgia / Neoplasias Meníngeas / Meningioma Idioma: En Ano de publicação: 2022 Tipo de documento: Article