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Deep Learning-Based Computer-Aided Detection System for Automated Treatment Response Assessment of Brain Metastases on 3D MRI.
Cho, Jungheum; Kim, Young Jae; Sunwoo, Leonard; Lee, Gi Pyo; Nguyen, Toan Quang; Cho, Se Jin; Baik, Sung Hyun; Bae, Yun Jung; Choi, Byung Se; Jung, Cheolkyu; Sohn, Chul-Ho; Han, Jung-Ho; Kim, Chae-Yong; Kim, Kwang Gi; Kim, Jae Hyoung.
Afiliação
  • Cho J; Department of Radiology, Seoul National University Bundang Hospital, Seongnam, South Korea.
  • Kim YJ; Department of Biomedical Engineering, Gachon University Gil Medical Center, Incheon, South Korea.
  • Sunwoo L; Department of Radiology, Seoul National University Bundang Hospital, Seongnam, South Korea.
  • Lee GP; Center for Artificial Intelligence in Healthcare, Seoul National University Bundang Hospital, Seongnam, South Korea.
  • Nguyen TQ; Department of Biomedical Engineering, Gachon University Gil Medical Center, Incheon, South Korea.
  • Cho SJ; Department of Radiology, Vietnam National Cancer Hospital, Hanoi, Vietnam.
  • Baik SH; Department of Radiology, Seoul National University Bundang Hospital, Seongnam, South Korea.
  • Bae YJ; Department of Radiology, Seoul National University Bundang Hospital, Seongnam, South Korea.
  • Choi BS; Department of Radiology, Seoul National University Bundang Hospital, Seongnam, South Korea.
  • Jung C; Department of Radiology, Seoul National University Bundang Hospital, Seongnam, South Korea.
  • Sohn CH; Department of Radiology, Seoul National University Bundang Hospital, Seongnam, South Korea.
  • Han JH; Department of Radiology, Seoul National University Hospital, Seoul, South Korea.
  • Kim CY; Department of Neurosurgery, Seoul National University Bundang Hospital, Seongnam, South Korea.
  • Kim KG; Department of Neurosurgery, Seoul National University Bundang Hospital, Seongnam, South Korea.
  • Kim JH; Department of Biomedical Engineering, Gachon University Gil Medical Center, Incheon, South Korea.
Front Oncol ; 11: 739639, 2021.
Article em En | MEDLINE | ID: mdl-34778056

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2021 Tipo de documento: Article