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Single Molecule Fluorescence Microscopy and Machine Learning for Rhesus D Antigen Classification.
Borgmann, Daniela M; Mayr, Sandra; Polin, Helene; Schaller, Susanne; Dorfer, Viktoria; Obritzberger, Lisa; Endmayr, Tanja; Gabriel, Christian; Winkler, Stephan M; Jacak, Jaroslaw.
Afiliação
  • Borgmann DM; University of Applied Sciences Upper Austria, School of Informatics, Communications and Media, Softwarepark 11, 4232 Hagenberg, Austria.
  • Mayr S; University of Applied Sciences Upper Austria, School of Applied Health and Social Sciences, Garnisonstrasse 21, 4020 Linz, Austria.
  • Polin H; Red Cross Transfusion Service for Upper Austria, Krankenhausstrasse 7, 4020 Linz, Austria.
  • Schaller S; University of Applied Sciences Upper Austria, School of Informatics, Communications and Media, Softwarepark 11, 4232 Hagenberg, Austria.
  • Dorfer V; University of Applied Sciences Upper Austria, School of Informatics, Communications and Media, Softwarepark 11, 4232 Hagenberg, Austria.
  • Obritzberger L; University of Applied Sciences Upper Austria, School of Informatics, Communications and Media, Softwarepark 11, 4232 Hagenberg, Austria.
  • Endmayr T; University of Applied Sciences Upper Austria, School of Applied Health and Social Sciences, Garnisonstrasse 21, 4020 Linz, Austria.
  • Gabriel C; Red Cross Transfusion Service for Upper Austria, Krankenhausstrasse 7, 4020 Linz, Austria.
  • Winkler SM; University of Applied Sciences Upper Austria, School of Informatics, Communications and Media, Softwarepark 11, 4232 Hagenberg, Austria.
  • Jacak J; University of Applied Sciences Upper Austria, School of Applied Health and Social Sciences, Garnisonstrasse 21, 4020 Linz, Austria.
Sci Rep ; 6: 32317, 2016 09 01.
Article em En | MEDLINE | ID: mdl-27580632
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Sistema do Grupo Sanguíneo Rh-Hr / Aprendizado de Máquina Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2016 Tipo de documento: Article
Texto completo
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Sistema do Grupo Sanguíneo Rh-Hr / Aprendizado de Máquina Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2016 Tipo de documento: Article