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Improving the taxonomy of fossil pollen using convolutional neural networks and superresolution microscopy.
Romero, Ingrid C; Kong, Shu; Fowlkes, Charless C; Jaramillo, Carlos; Urban, Michael A; Oboh-Ikuenobe, Francisca; D'Apolito, Carlos; Punyasena, Surangi W.
Afiliação
  • Romero IC; Department of Plant Biology, University of Illinois at Urbana-Champaign, Urbana, IL 61801; romerov2@illinois.edu spunya1@illinois.edu.
  • Kong S; Robotics Institute, Carnegie Mellon University, Pittsburgh, PA 15213.
  • Fowlkes CC; Department of Computer Science, University of California, Irvine, CA 92697.
  • Jaramillo C; Department of Computer Science, University of California, Irvine, CA 92697.
  • Urban MA; Center for Tropical Paleoecology and Archaeology, Smithsonian Tropical Research Institute, Ancon, 0843-03092, Panama.
  • Oboh-Ikuenobe F; Institut des Sciences de l'Évolution de Montpellier, Université de Montpellier, CNRS, Ecole Pratique des Hautes Études, Institut de Recherche pour le Développement, Montpellier, 34095, France.
  • D'Apolito C; Department of Geology, Faculty of Sciences, University of Salamanca, Salamanca, 37008, Spain.
  • Punyasena SW; Department of Plant Biology, University of Illinois at Urbana-Champaign, Urbana, IL 61801.
Proc Natl Acad Sci U S A ; 117(45): 28496-28505, 2020 11 10.
Article em En | MEDLINE | ID: mdl-33097671
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Filogenia / Pólen / Redes Neurais de Computação / Fósseis / Microscopia País/Região como assunto: Africa / America do sul Idioma: En Ano de publicação: 2020 Tipo de documento: Article
Texto completo
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XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Filogenia / Pólen / Redes Neurais de Computação / Fósseis / Microscopia País/Região como assunto: Africa / America do sul Idioma: En Ano de publicação: 2020 Tipo de documento: Article