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Deep learning -- promises for 3D nuclear imaging: a guide for biologists.
Mougeot, Guillaume; Dubos, Tristan; Chausse, Frédéric; Péry, Emilie; Graumann, Katja; Tatout, Christophe; Evans, David E; Desset, Sophie.
Afiliación
  • Mougeot G; Université Clermont Auvergne, CNRS, Inserm, GReD, F-63000 Clermont-Ferrand, France.
  • Dubos T; Department of Biological and Molecular Sciences, Faculty of Health and Life Sciences, Oxford Brookes University, Oxford OX3 0BP, UK.
  • Chausse F; Université Clermont Auvergne, CNRS, Inserm, GReD, F-63000 Clermont-Ferrand, France.
  • Péry E; Université Clermont Auvergne, Clermont Auvergne INP, CNRS, Institut Pascal, F-63000 Clermont-Ferrand, France.
  • Graumann K; Université Clermont Auvergne, Clermont Auvergne INP, CNRS, Institut Pascal, F-63000 Clermont-Ferrand, France.
  • Tatout C; Department of Biological and Molecular Sciences, Faculty of Health and Life Sciences, Oxford Brookes University, Oxford OX3 0BP, UK.
  • Evans DE; Université Clermont Auvergne, CNRS, Inserm, GReD, F-63000 Clermont-Ferrand, France.
  • Desset S; Department of Biological and Molecular Sciences, Faculty of Health and Life Sciences, Oxford Brookes University, Oxford OX3 0BP, UK.
J Cell Sci ; 135(7)2022 04 01.
Article en En | MEDLINE | ID: mdl-35420128
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Aprendizaje Profundo Tipo de estudio: Guideline / Prognostic_studies / Qualitative_research Idioma: En Revista: J Cell Sci Año: 2022 Tipo del documento: Article País de afiliación: Francia
Texto completo
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Aprendizaje Profundo Tipo de estudio: Guideline / Prognostic_studies / Qualitative_research Idioma: En Revista: J Cell Sci Año: 2022 Tipo del documento: Article País de afiliación: Francia