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Value of machine learning-based transrectal multimodal ultrasound combined with PSA-related indicators in the diagnosis of clinically significant prostate cancer.
Zhang, Maoliang; Liu, Yuanzhen; Yao, Jincao; Wang, Kai; Tu, Jing; Hu, Zhengbiao; Jin, Yun; Du, Yue; Sun, Xingbo; Chen, Liyu; Wang, Zhengping.
Afiliação
  • Zhang M; Department of Ultrasound, The Affiliated Dongyang Hospital of Wenzhou Medical University, Dongyang, China.
  • Liu Y; Department of Ultrasound, Cancer Hospital of the University of Chinese Academy of Sciences, Zhejiang Cancer Hospital, Hangzhou, China.
  • Yao J; Institute of Basic Medicine and Cancer (IBMC), Chinese Academy of Sciences, Hangzhou, China.
  • Wang K; Key Laboratory of Head & Neck Cancer Translational Research of Zhejiang Province, Hangzhou, Zhejiang, China.
  • Tu J; Department of Ultrasound, Cancer Hospital of the University of Chinese Academy of Sciences, Zhejiang Cancer Hospital, Hangzhou, China.
  • Hu Z; Institute of Basic Medicine and Cancer (IBMC), Chinese Academy of Sciences, Hangzhou, China.
  • Jin Y; Key Laboratory of Head & Neck Cancer Translational Research of Zhejiang Province, Hangzhou, Zhejiang, China.
  • Du Y; Department of Ultrasound, The Affiliated Dongyang Hospital of Wenzhou Medical University, Dongyang, China.
  • Sun X; Department of Ultrasound, The Affiliated Dongyang Hospital of Wenzhou Medical University, Dongyang, China.
  • Chen L; Department of Ultrasound, The Affiliated Dongyang Hospital of Wenzhou Medical University, Dongyang, China.
  • Wang Z; Department of Ultrasound, The Affiliated Dongyang Hospital of Wenzhou Medical University, Dongyang, China.
Front Endocrinol (Lausanne) ; 14: 1137322, 2023.
Article em En | MEDLINE | ID: mdl-36967794

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Neoplasias da Próstata / Antígeno Prostático Específico Idioma: En Ano de publicação: 2023 Tipo de documento: Article País de afiliação: China

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Neoplasias da Próstata / Antígeno Prostático Específico Idioma: En Ano de publicação: 2023 Tipo de documento: Article País de afiliação: China