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A deep learning model for the differential diagnosis of benign and malignant salivary gland tumors based on ultrasound imaging and clinical data.
Zhang, Gang; Zhu, Li; Huang, Rong; Xu, Yushan; Lu, Xiaokai; Chen, Yumei; Li, Chen; Lei, Yujie; Luo, Xiaomao; Li, Zhiyao; Yi, Sanli; He, Jianfeng; Zheng, Chenhong.
Afiliación
  • Zhang G; Department of Ultrasound, The Third Affiliated Hospital of Kunming Medical University, Kunming, China.
  • Zhu L; School of Information Engineering and Automation, Kunming University of Science and Technology, Kunming, China.
  • Huang R; Department of Ultrasound, The Third Affiliated Hospital of Kunming Medical University, Kunming, China.
  • Xu Y; Department of Endocrinology, The First Affiliated Hospital of Kunming Medical University, Kunming, China.
  • Lu X; Department of Endocrinology, The First Affiliated Hospital of Kunming Medical University, Kunming, China.
  • Chen Y; Department of Endocrinology, The First Affiliated Hospital of Kunming Medical University, Kunming, China.
  • Li C; Department of Ultrasound, The Third Affiliated Hospital of Kunming Medical University, Kunming, China.
  • Lei Y; Department of Ultrasound, The Third Affiliated Hospital of Kunming Medical University, Kunming, China.
  • Luo X; Office of Academic Research, The Third Affiliated Hospital of Kunming Medical University, Kunming, China.
  • Li Z; Office of Academic Research, The Third Affiliated Hospital of Kunming Medical University, Kunming, China.
  • Yi S; Department of Ultrasound, The Third Affiliated Hospital of Kunming Medical University, Kunming, China.
  • He J; Department of Ultrasound, The Third Affiliated Hospital of Kunming Medical University, Kunming, China.
  • Zheng C; School of Information Engineering and Automation, Kunming University of Science and Technology, Kunming, China.
Quant Imaging Med Surg ; 13(5): 2989-3000, 2023 May 01.
Article en En | MEDLINE | ID: mdl-37179911

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Diagnostic_studies / Prognostic_studies Idioma: En Revista: Quant Imaging Med Surg Año: 2023 Tipo del documento: Article País de afiliación: China

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Diagnostic_studies / Prognostic_studies Idioma: En Revista: Quant Imaging Med Surg Año: 2023 Tipo del documento: Article País de afiliación: China
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