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Fully Automated MRI Segmentation and Volumetric Measurement of Intracranial Meningioma Using Deep Learning.
Kang, Ho; Witanto, Joseph Nathanael; Pratama, Kevin; Lee, Doohee; Choi, Kyu Sung; Choi, Seung Hong; Kim, Kyung-Min; Kim, Min-Sung; Kim, Jin Wook; Kim, Yong Hwy; Park, Sang Joon; Park, Chul-Kee.
Afiliação
  • Kang H; Department of Neurosurgery, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Korea.
  • Witanto JN; Research and Science Division, Research and Development Center, MEDICALIP Co. Ltd, Seoul, Korea.
  • Pratama K; Research and Science Division, Research and Development Center, MEDICALIP Co. Ltd, Seoul, Korea.
  • Lee D; Research and Science Division, Research and Development Center, MEDICALIP Co. Ltd, Seoul, Korea.
  • Choi KS; Department of Radiology, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Korea.
  • Choi SH; Department of Radiology, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Korea.
  • Kim KM; Department of Neurosurgery, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Korea.
  • Kim MS; Department of Neurosurgery, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Korea.
  • Kim JW; Department of Neurosurgery, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Korea.
  • Kim YH; Department of Neurosurgery, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Korea.
  • Park SJ; Research and Science Division, Research and Development Center, MEDICALIP Co. Ltd, Seoul, Korea.
  • Park CK; Department of Radiology, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Korea.
J Magn Reson Imaging ; 57(3): 871-881, 2023 03.
Article em En | MEDLINE | ID: mdl-35775971
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Aprendizado Profundo / Neoplasias Meníngeas / Meningioma Tipo de estudo: Prognostic_studies Limite: Female / Humans / Male / Middle aged Idioma: En Revista: J Magn Reson Imaging Assunto da revista: DIAGNOSTICO POR IMAGEM Ano de publicação: 2023 Tipo de documento: Article
Texto completo
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Aprendizado Profundo / Neoplasias Meníngeas / Meningioma Tipo de estudo: Prognostic_studies Limite: Female / Humans / Male / Middle aged Idioma: En Revista: J Magn Reson Imaging Assunto da revista: DIAGNOSTICO POR IMAGEM Ano de publicação: 2023 Tipo de documento: Article