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Combined segmentation and classification-based approach to automated analysis of biomedical signals obtained from calcium imaging.
Dursun, Gizem; Bijelic, Dunja; Aysit, Nese; Kurt Vatandaslar, Burcu; Radenovic, Lidija; Çapar, Abdulkerim; Kerman, Bilal Ersen; Andjus, Pavle R; Korenic, Andrej; Özkaya, Ufuk.
Afiliação
  • Dursun G; Electrical and Electronics Engineering Department, Süleyman Demirel University, Isparta, Turkey.
  • Bijelic D; Center for Laser Microscopy, Faculty of Biology, University of Belgrade, Belgrade, Serbia.
  • Aysit N; Department of Medical Biology, Regenerative and Restorative Medicine Research Center (REMER), Research Institute for Health Sciences and Technologies (SABITA), School of Medicine, Istanbul Medipol University, Istanbul, Turkey.
  • Kurt Vatandaslar B; Department of Medical Biology, Regenerative and Restorative Medicine Research Center (REMER), Research Institute for Health Sciences and Technologies (SABITA), School of Medicine, Istanbul Medipol University, Istanbul, Turkey.
  • Radenovic L; Center for Laser Microscopy, Faculty of Biology, University of Belgrade, Belgrade, Serbia.
  • Çapar A; Informatics Institute of Istanbul Technical University, Istanbul, Turkey.
  • Kerman BE; Department of Medical Biology, Regenerative and Restorative Medicine Research Center (REMER), Research Institute for Health Sciences and Technologies (SABITA), School of Medicine, Istanbul Medipol University, Istanbul, Turkey.
  • Andjus PR; Department of Histology and Embryology, School of Medicine, Istanbul Medipol University, Istanbul, Turkey.
  • Korenic A; Department of Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA, United States of America.
  • Özkaya U; Center for Laser Microscopy, Faculty of Biology, University of Belgrade, Belgrade, Serbia.
PLoS One ; 18(2): e0281236, 2023.
Article em En | MEDLINE | ID: mdl-36745648

Texto completo: 1 Bases de dados: MEDLINE Assunto principal: Diagnóstico por Imagem / Cálcio Tipo de estudo: Diagnostic_studies Limite: Humans Idioma: En Revista: PLoS One Assunto da revista: CIENCIA / MEDICINA Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Turquia

Texto completo: 1 Bases de dados: MEDLINE Assunto principal: Diagnóstico por Imagem / Cálcio Tipo de estudo: Diagnostic_studies Limite: Humans Idioma: En Revista: PLoS One Assunto da revista: CIENCIA / MEDICINA Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Turquia