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Foveal avascular zone segmentation using deep learning-driven image-level optimization and fundus photographs.
Coronado, I; Pachade, S; Dawoodally, H; Salazar Marioni, S; Yan, J; Abdelkhaleq, R; Bahrainian, M; Jagolino-Cole, A; Channa, R; Sheth, S A; Giancardo, L.
Afiliação
  • Coronado I; Center for Precision Health, School of Biomedical Informatics, University of Texas Health Science Center at Houston (UTHealth), TX, USA.
  • Pachade S; Center for Precision Health, School of Biomedical Informatics, University of Texas Health Science Center at Houston (UTHealth), TX, USA.
  • Dawoodally H; Center for Precision Health, School of Biomedical Informatics, University of Texas Health Science Center at Houston (UTHealth), TX, USA.
  • Salazar Marioni S; McGovern Medical School, UTHealth, Houston, TX, USA.
  • Yan J; Center for Precision Health, School of Biomedical Informatics, University of Texas Health Science Center at Houston (UTHealth), TX, USA.
  • Abdelkhaleq R; McGovern Medical School, UTHealth, Houston, TX, USA.
  • Bahrainian M; Department of Ophthalmology and Visual Sciences, University of Wisconsin-Madison, WI, USA.
  • Jagolino-Cole A; McGovern Medical School, UTHealth, Houston, TX, USA.
  • Channa R; Department of Ophthalmology and Visual Sciences, University of Wisconsin-Madison, WI, USA.
  • Sheth SA; McGovern Medical School, UTHealth, Houston, TX, USA.
  • Giancardo L; Center for Precision Health, School of Biomedical Informatics, University of Texas Health Science Center at Houston (UTHealth), TX, USA.
Proc IEEE Int Symp Biomed Imaging ; 20232023 Apr.
Article em En | MEDLINE | ID: mdl-37706193
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2023 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2023 Tipo de documento: Article