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A Weakly Supervised Learning Method for Cell Detection and Tracking Using Incomplete Initial Annotations.
Wu, Hao; Niyogisubizo, Jovial; Zhao, Keliang; Meng, Jintao; Xi, Wenhui; Li, Hongchang; Pan, Yi; Wei, Yanjie.
Afiliação
  • Wu H; Shenzhen Key Laboratory of Intelligent Bioinformatics and Center for High Performance Computing, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China.
  • Niyogisubizo J; Shenzhen Key Laboratory of Intelligent Bioinformatics and Center for High Performance Computing, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China.
  • Zhao K; University of Chinese Academy of Sciences, Beijing 100049, China.
  • Meng J; Shenzhen Key Laboratory of Intelligent Bioinformatics and Center for High Performance Computing, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China.
  • Xi W; University of Chinese Academy of Sciences, Beijing 100049, China.
  • Li H; Shenzhen Key Laboratory of Intelligent Bioinformatics and Center for High Performance Computing, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China.
  • Pan Y; Shenzhen Key Laboratory of Intelligent Bioinformatics and Center for High Performance Computing, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China.
  • Wei Y; Institute of Biomedicine and Biotechnology, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China.
Int J Mol Sci ; 24(22)2023 Nov 07.
Article em En | MEDLINE | ID: mdl-38003217
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Redes Neurais de Computação / Aprendizado de Máquina Supervisionado Idioma: En Ano de publicação: 2023 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Redes Neurais de Computação / Aprendizado de Máquina Supervisionado Idioma: En Ano de publicação: 2023 Tipo de documento: Article