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Weakly supervised deep learning for determining the prognostic value of 18F-FDG PET/CT in extranodal natural killer/T cell lymphoma, nasal type.
Guo, Rui; Hu, Xiaobin; Song, Haoming; Xu, Pengpeng; Xu, Haoping; Rominger, Axel; Lin, Xiaozhu; Menze, Bjoern; Li, Biao; Shi, Kuangyu.
Afiliación
  • Guo R; Department of Nuclear Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
  • Hu X; Department of Informatics, Technical University of Munich, Munich, Germany.
  • Song H; Department of Informatics, Technical University of Munich, Munich, Germany.
  • Xu P; State Key Laboratory of Medical Genomics, Shanghai Institute of Hematology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
  • Xu H; Department of Radiation, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
  • Rominger A; Department of Nuclear Medicine, University of Bern, Bern, Switzerland.
  • Lin X; Department of Nuclear Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
  • Menze B; Department of Informatics, Technical University of Munich, Munich, Germany.
  • Li B; Department of Quantitative Biomedicine, University of Zurich, Zurich, Switzerland.
  • Shi K; Department of Nuclear Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China. lb10363@rjh.com.cn.
Eur J Nucl Med Mol Imaging ; 48(10): 3151-3161, 2021 09.
Article en En | MEDLINE | ID: mdl-33611614
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Linfoma Extranodal de Células NK-T / Aprendizaje Profundo Tipo de estudio: Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: Eur J Nucl Med Mol Imaging Asunto de la revista: MEDICINA NUCLEAR Año: 2021 Tipo del documento: Article País de afiliación: China
Texto completo
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Linfoma Extranodal de Células NK-T / Aprendizaje Profundo Tipo de estudio: Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: Eur J Nucl Med Mol Imaging Asunto de la revista: MEDICINA NUCLEAR Año: 2021 Tipo del documento: Article País de afiliación: China