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Development and validation of a deep-learning model for detecting brain metastases on 3D post-contrast MRI: a multi-center multi-reader evaluation study.
Yin, Shaohan; Luo, Xiao; Yang, Yadi; Shao, Ying; Ma, Lidi; Lin, Cuiping; Yang, Qiuxia; Wang, Deling; Luo, Yingwei; Mai, Zhijun; Fan, Weixiong; Zheng, Dechun; Li, Jianpeng; Cheng, Fengyan; Zhang, Yuhui; Zhong, Xinwei; Shen, Fangmin; Shao, Guohua; Wu, Jiahao; Sun, Ying; Luo, Huiyan; Li, Chaofeng; Gao, Yaozong; Shen, Dinggang; Zhang, Rong; Xie, Chuanmiao.
Afiliação
  • Yin S; State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China.
  • Luo X; Department of Radiology, Sun Yat-Sen University Cancer Center, Guangzhou, China.
  • Yang Y; State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China.
  • Shao Y; Department of Radiology, Sun Yat-Sen University Cancer Center, Guangzhou, China.
  • Ma L; State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China.
  • Lin C; Department of Radiology, Sun Yat-Sen University Cancer Center, Guangzhou, China.
  • Yang Q; State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China.
  • Wang D; R&D Department, Shanghai United Imaging Intelligence Co., Ltd., Shanghai, China.
  • Luo Y; Department of Radiation Oncology, Sun Yat-Sen University Cancer Center, Guangzhou, China.
  • Mai Z; State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China.
  • Fan W; Department of Radiology, Sun Yat-Sen University Cancer Center, Guangzhou, China.
  • Zheng D; State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China.
  • Li J; State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China.
  • Cheng F; Department of Radiology, Sun Yat-Sen University Cancer Center, Guangzhou, China.
  • Zhang Y; State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China.
  • Zhong X; Department of Radiology, Sun Yat-Sen University Cancer Center, Guangzhou, China.
  • Shen F; State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China.
  • Shao G; Department of Radiology, Sun Yat-Sen University Cancer Center, Guangzhou, China.
  • Wu J; State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China.
  • Sun Y; Department of Radiology, Sun Yat-Sen University Cancer Center, Guangzhou, China.
  • Luo H; Department of Magnetic Resonance, Guangdong Provincial Key Laboratory of Precision Medicine and Clinical Translational Research of Hakka Population, Meizhou People's Hospital, Meizhou, China.
  • Li C; Department of Radiology, Fujian Cancer Hospital, Fujian Medical University Cancer Hospital, Fuzhou, Fujian Province, China.
  • Gao Y; Department Of Radiology, Affiliated Dongguan Hospital, Southern Medical University, Dongguan, China.
  • Shen D; Department of Magnetic Resonance, Guangdong Provincial Key Laboratory of Precision Medicine and Clinical Translational Research of Hakka Population, Meizhou People's Hospital, Meizhou, China.
  • Zhang R; Department of Magnetic Resonance, Guangdong Provincial Key Laboratory of Precision Medicine and Clinical Translational Research of Hakka Population, Meizhou People's Hospital, Meizhou, China.
  • Xie C; Department of Magnetic Resonance, Guangdong Provincial Key Laboratory of Precision Medicine and Clinical Translational Research of Hakka Population, Meizhou People's Hospital, Meizhou, China.
Neuro Oncol ; 24(9): 1559-1570, 2022 09 01.
Article em En | MEDLINE | ID: mdl-35100427
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias Encefálicas / Aprendizado Profundo Tipo de estudo: Guideline / Observational_studies Limite: Humans Idioma: En Revista: Neuro Oncol Assunto da revista: NEOPLASIAS / NEUROLOGIA Ano de publicação: 2022 Tipo de documento: Article País de afiliação: China País de publicação: Reino Unido
Texto completo
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias Encefálicas / Aprendizado Profundo Tipo de estudo: Guideline / Observational_studies Limite: Humans Idioma: En Revista: Neuro Oncol Assunto da revista: NEOPLASIAS / NEUROLOGIA Ano de publicação: 2022 Tipo de documento: Article País de afiliação: China País de publicação: Reino Unido