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Web-Seminar

Sa25 Deep Learning - recent developments in Ophthalmology

Symposium of the DOG 2020 Online
online, Deutschland
Veranstaltungsnummer: 34198
Gebühren ab: 0,00 €
verfügbare Plätze: unbegrenzt
Sprache: Deutsch

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  • Datum
    10.10.2020, 17:30 - 18:15
    Veranstalter
    DOG - Deutsche Ophthalmologische Gesellschaft e.V.
    Kurzbeschreibung
    Automated image analysis has become an indispensable tool in ophthalmology. Algorithms are already being used in studies and will soon be incorporated into our clinical routine, supporting medical decision making. This symposium will provide an overview on recent developments and their clinical applicability of deep learning in Ophthalmology.
    Gebühren

    Fachärzte

    Teilnehmer max.
    unbegrenzt

    Gebühren ab
    120,00 €
    Hinweis
    This symposium is part of the DOG congress 2020 (9.-11.2020). The attandance for the total congress costs 250€ for members and 120€ for non-members.

    Ärzte/-innen in Weiterbildung

    Teilnehmer max.
    unbegrenzt

    Gebühren ab
    120,00 €
    Hinweis
    This symposium is part of the DOG congress 2020 (9.-11.2020). The attandance for the total congress costs 250€ for members and 120€ for non-members.

    Studenten/-innen

    Teilnehmer max.
    unbegrenzt

    Gebühren ab
    kostenlos
    Hinweis
    The full congress is free for students and PhD students.
  •  

    17:30 – 17:39

    Sa25-01 - AI in diabetic retinopathy screening

    Referent/in: Sobha Sivaprasad, London, United Kingdom

    17:39 – 17:48

    Sa25-02 - Beyond traditional applications of AI to ophthalmology: everything the human eye cannot see

    Referent/in: Carlos Ciller, Bern, Switzerland

    Today Artificial Intelligence in the form of Machine Learning is gradually being integrated in tools to support ophthalmologists with tasks such as identification, localization and quantification of pathological biomarkers linked to the development of eye diseases. However, there are many more ways in which machine learning can support the eye care professional. This presentation will cover some of these contributions that the eye simply cannot see. 

    17:48 – 17:57

    Sa25-03 - Deep Learning for the analysis of outer retinal layers on OCT

    Referent/in: Olivier Morelle, Bonn

    Reliable quantification of ophthalmological imaging data is essential for large epidemiological studies and an important stepstone towards personalized treatment of retinal diseases. This presentation will focus on the analysis of the outer retinal layers with a deep learning approach.

    17:57 – 18:06

    Sa25-04 - Cross-modal self-supervised retinal thickness prediction

    Referent/in: Olle Holmberg, München

    18:06 – 18:15

    Sa25-05 - Promising deep learning approaches in OCT imaging

    Referent/in: Maximilian Treder, Münster

  • This symposium is virtual. Saal von Graefe

    INTERPLAN AG
    Congress, Meeting & Event Management AG
    Landsberger Straße 155
    DE - 80687 München
    Tel.: +49 (0)89 548 234 35
    Tel.: +49 (0)89 548 234 0
    Fax: +49 (0)89 548 234 43
    Fax: +49 (0)89 548 234 44

    Chairman

    Sobha Sivaprasad, London, United Kingdom

    Karsten Kortüm, München

    Maximilian Wintergerst, Bonn

     

  • Please contact the roganizer for further information.