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Deep Learning for Microfluidic-Assisted Caenorhabditis elegans Multi-Parameter Identification Using YOLOv7.
Zhang, Jie; Liu, Shuhe; Yuan, Hang; Yong, Ruiqi; Duan, Sixuan; Li, Yifan; Spencer, Joseph; Lim, Eng Gee; Yu, Limin; Song, Pengfei.
Afiliación
  • Zhang J; School of Advanced Technology, Xi'an Jiaotong-Liverpool University, Suzhou 215123, China.
  • Liu S; Department of Electrical and Electronic Engineering, University of Liverpool, Liverpool L693BX, UK.
  • Yuan H; School of Advanced Technology, Xi'an Jiaotong-Liverpool University, Suzhou 215123, China.
  • Yong R; School of Advanced Technology, Xi'an Jiaotong-Liverpool University, Suzhou 215123, China.
  • Duan S; School of Advanced Technology, Xi'an Jiaotong-Liverpool University, Suzhou 215123, China.
  • Li Y; School of Advanced Technology, Xi'an Jiaotong-Liverpool University, Suzhou 215123, China.
  • Spencer J; Department of Electrical and Electronic Engineering, University of Liverpool, Liverpool L693BX, UK.
  • Lim EG; School of Advanced Technology, Xi'an Jiaotong-Liverpool University, Suzhou 215123, China.
  • Yu L; Department of Electrical and Electronic Engineering, University of Liverpool, Liverpool L693BX, UK.
  • Song P; Department of Electrical and Electronic Engineering, University of Liverpool, Liverpool L693BX, UK.
Micromachines (Basel) ; 14(7)2023 Jun 29.
Article en En | MEDLINE | ID: mdl-37512650
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Diagnostic_studies Idioma: En Revista: Micromachines (Basel) Año: 2023 Tipo del documento: Article País de afiliación: China Pais de publicación: Suiza
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: Diagnostic_studies Idioma: En Revista: Micromachines (Basel) Año: 2023 Tipo del documento: Article País de afiliación: China Pais de publicación: Suiza