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f-AnoGAN: Fast unsupervised anomaly detection with generative adversarial networks.
Schlegl, Thomas; Seeböck, Philipp; Waldstein, Sebastian M; Langs, Georg; Schmidt-Erfurth, Ursula.
Afiliação
  • Schlegl T; Computational Imaging Research Lab, Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna, Austria; Christian Doppler Laboratory for Ophthalmic Image Analysis, Department of Ophthalmology and Optometry, Medical University Vienna, Austria. Electronic address:
  • Seeböck P; Computational Imaging Research Lab, Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna, Austria; Christian Doppler Laboratory for Ophthalmic Image Analysis, Department of Ophthalmology and Optometry, Medical University Vienna, Austria.
  • Waldstein SM; Christian Doppler Laboratory for Ophthalmic Image Analysis, Department of Ophthalmology and Optometry, Medical University Vienna, Austria.
  • Langs G; Computational Imaging Research Lab, Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna, Austria. Electronic address: http://www.cir.meduniwien.ac.at.
  • Schmidt-Erfurth U; Christian Doppler Laboratory for Ophthalmic Image Analysis, Department of Ophthalmology and Optometry, Medical University Vienna, Austria.
Med Image Anal ; 54: 30-44, 2019 05.
Article em En | MEDLINE | ID: mdl-30831356
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Retina / Processamento de Imagem Assistida por Computador / Redes Neurais de Computação / Tomografia de Coerência Óptica / Técnicas de Diagnóstico Oftalmológico Idioma: En Ano de publicação: 2019 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Retina / Processamento de Imagem Assistida por Computador / Redes Neurais de Computação / Tomografia de Coerência Óptica / Técnicas de Diagnóstico Oftalmológico Idioma: En Ano de publicação: 2019 Tipo de documento: Article