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Machine learning framework to segment sarcomeric structures in SMLM data.
Varga, Dániel; Szikora, Szilárd; Novák, Tibor; Pap, Gergely; Lékó, Gábor; Mihály, József; Erdélyi, Miklós.
Afiliación
  • Varga D; Department of Optics and Quantum Electronics, University of Szeged, Dóm tér 9, Szeged, 6720, Hungary. vdaniel@titan.physx.u-szeged.hu.
  • Szikora S; Institute of Genetics, Biological Research Centre, Temesvári körút 62, Szeged, 6726, Hungary.
  • Novák T; Department of Optics and Quantum Electronics, University of Szeged, Dóm tér 9, Szeged, 6720, Hungary.
  • Pap G; Department of Computer Algorithms and Artificial Intelligence, University of Szeged, Árpád tér 2, Szeged, 6720, Hungary.
  • Lékó G; Department of Software Engineering, University of Szeged, Dugonics tér 13, Szeged, 6720, Hungary.
  • Mihály J; Institute of Genetics, Biological Research Centre, Temesvári körút 62, Szeged, 6726, Hungary.
  • Erdélyi M; Department of Genetics, University of Szeged, Közép fasor 52, Szeged, 6726, Hungary.
Sci Rep ; 13(1): 1582, 2023 Jan 28.
Article en En | MEDLINE | ID: mdl-36709347
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Idioma: En Revista: Sci Rep Año: 2023 Tipo del documento: Article País de afiliación: Hungria
Texto completo
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Idioma: En Revista: Sci Rep Año: 2023 Tipo del documento: Article País de afiliación: Hungria