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Deep learning based ultrasonic visualization of distal humeral cartilage for image-guided therapy: a pilot validation study.
Zhao, Wei; Su, Xiuyun; Guo, Yao; Li, Haojin; Basnet, Shiva; Chen, Jianyu; Yang, Zide; Zhong, Rihang; Liu, Jiang; Chui, Elvis Chun-Sing; Pei, Guoxian; Li, Heng.
Afiliación
  • Zhao W; School of Medicine, Southern University of Science and Technology, Shenzhen, China.
  • Su X; Medical Intelligence and Innovation Academy, Southern University of Science and Technology Hospital, Shenzhen, China.
  • Guo Y; School of Medicine, Southern University of Science and Technology, Shenzhen, China.
  • Li H; Department of Computer Science and Engineering, Southern University of Science and Technology, Shenzhen, China.
  • Basnet S; School of Medicine, Southern University of Science and Technology, Shenzhen, China.
  • Chen J; Department of Computer Science and Engineering, Southern University of Science and Technology, Shenzhen, China.
  • Yang Z; Department of Computer Science and Engineering, Southern University of Science and Technology, Shenzhen, China.
  • Zhong R; Department of Computer Science and Engineering, Southern University of Science and Technology, Shenzhen, China.
  • Liu J; Department of Computer Science and Engineering, Southern University of Science and Technology, Shenzhen, China.
  • Chui EC; Department of Orthopaedics and Traumatology, The Chinese University of Hong Kong, Hong Kong, China.
  • Pei G; School of Medicine, Southern University of Science and Technology, Shenzhen, China.
  • Li H; Medical Intelligence and Innovation Academy, Southern University of Science and Technology Hospital, Shenzhen, China.
Quant Imaging Med Surg ; 13(8): 5306-5320, 2023 Aug 01.
Article en En | MEDLINE | ID: mdl-37581069
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Quant Imaging Med Surg Año: 2023 Tipo del documento: Article País de afiliación: China Pais de publicación: China
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

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