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A Combined Model Integrating Radiomics and Deep Learning Based on Contrast-Enhanced CT for Preoperative Staging of Laryngeal Carcinoma.
Chen, Xinwei; Yu, Qiang; Peng, Juan; He, Zhiyang; Li, Quanjiang; Ning, Youquan; Gu, Jinming; Lv, Fajin; Jiang, Huan; Xie, Kai.
Afiliação
  • Chen X; Department of Radiology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China (X.C., Q.Y., J.P., Z.H., Q.L., Y.N., F.L., H.J., K.X.).
  • Yu Q; Department of Radiology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China (X.C., Q.Y., J.P., Z.H., Q.L., Y.N., F.L., H.J., K.X.).
  • Peng J; Department of Radiology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China (X.C., Q.Y., J.P., Z.H., Q.L., Y.N., F.L., H.J., K.X.). Electronic address: pengjuan0717@sina.com.
  • He Z; Department of Radiology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China (X.C., Q.Y., J.P., Z.H., Q.L., Y.N., F.L., H.J., K.X.).
  • Li Q; Department of Radiology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China (X.C., Q.Y., J.P., Z.H., Q.L., Y.N., F.L., H.J., K.X.).
  • Ning Y; Department of Radiology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China (X.C., Q.Y., J.P., Z.H., Q.L., Y.N., F.L., H.J., K.X.).
  • Gu J; Department of Radiology, The Third People's Hospital of Chengdu, Chengdu, China (J.G.).
  • Lv F; Department of Radiology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China (X.C., Q.Y., J.P., Z.H., Q.L., Y.N., F.L., H.J., K.X.).
  • Jiang H; Department of Radiology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China (X.C., Q.Y., J.P., Z.H., Q.L., Y.N., F.L., H.J., K.X.).
  • Xie K; Department of Radiology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China (X.C., Q.Y., J.P., Z.H., Q.L., Y.N., F.L., H.J., K.X.).
Acad Radiol ; 30(12): 3022-3031, 2023 12.
Article em En | MEDLINE | ID: mdl-37777428
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Carcinoma / Aprendizado Profundo Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Revista: Acad Radiol Assunto da revista: RADIOLOGIA Ano de publicação: 2023 Tipo de documento: Article
Texto completo
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XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Carcinoma / Aprendizado Profundo Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Revista: Acad Radiol Assunto da revista: RADIOLOGIA Ano de publicação: 2023 Tipo de documento: Article