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BeadNet: deep learning-based bead detection and counting in low-resolution microscopy images.
Scherr, Tim; Streule, Karolin; Bartschat, Andreas; Böhland, Moritz; Stegmaier, Johannes; Reischl, Markus; Orian-Rousseau, Véronique; Mikut, Ralf.
Affiliation
  • Scherr T; Institute for Automation and Applied Informatics, Eggenstein-Leopoldshafen 76344, Germany.
  • Streule K; Institute of Biological and Chemical Systems - Functional Molecular Systems, Karlsruhe Institute of Technology, Eggenstein-Leopoldshafen 76344, Germany.
  • Bartschat A; Institute for Automation and Applied Informatics, Eggenstein-Leopoldshafen 76344, Germany.
  • Böhland M; Institute for Automation and Applied Informatics, Eggenstein-Leopoldshafen 76344, Germany.
  • Stegmaier J; Institute of Imaging and Computer Vision, RWTH Aachen University, Aachen 52074, Germany.
  • Reischl M; Institute for Automation and Applied Informatics, Eggenstein-Leopoldshafen 76344, Germany.
  • Orian-Rousseau V; Institute of Biological and Chemical Systems - Functional Molecular Systems, Karlsruhe Institute of Technology, Eggenstein-Leopoldshafen 76344, Germany.
  • Mikut R; Institute for Automation and Applied Informatics, Eggenstein-Leopoldshafen 76344, Germany.
Bioinformatics ; 36(17): 4668-4670, 2020 11 01.
Article in En | MEDLINE | ID: mdl-32589734
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Full text: 1 Database: MEDLINE Main subject: Deep Learning / Microscopy Type of study: Diagnostic_studies Language: En Journal: Bioinformatics Journal subject: INFORMATICA MEDICA Year: 2020 Type: Article Affiliation country: Germany
Fulltext
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Full text: 1 Database: MEDLINE Main subject: Deep Learning / Microscopy Type of study: Diagnostic_studies Language: En Journal: Bioinformatics Journal subject: INFORMATICA MEDICA Year: 2020 Type: Article Affiliation country: Germany