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Predicting 18F-FDG SUVs of metastatic pulmonary nodes from CT images in patients with differentiated thyroid cancer by using a convolutional neural network.
Ju, Nianting; Nie, Liangbing; Wang, Yang; Hou, Liying; Li, Chengfan; Ding, Xuehai; Luo, Quanyong; Shen, Chentian.
Afiliação
  • Ju N; Department of Nuclear Medicine, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China.
  • Nie L; School of Computer Engineering and Science, Shanghai University, Shanghai, China.
  • Wang Y; Department of Nuclear Medicine, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China.
  • Hou L; Department of Nuclear Medicine, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China.
  • Li C; School of Computer Engineering and Science, Shanghai University, Shanghai, China.
  • Ding X; School of Computer Engineering and Science, Shanghai University, Shanghai, China.
  • Luo Q; Department of Nuclear Medicine, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China.
  • Shen C; Department of Nuclear Medicine, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Front Endocrinol (Lausanne) ; 14: 1127741, 2023.
Article em En | MEDLINE | ID: mdl-37214240

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias da Glândula Tireoide / Adenocarcinoma Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: Front Endocrinol (Lausanne) Ano de publicação: 2023 Tipo de documento: Article País de afiliação: China

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias da Glândula Tireoide / Adenocarcinoma Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: Front Endocrinol (Lausanne) Ano de publicação: 2023 Tipo de documento: Article País de afiliação: China