Sa25 Deep Learning - recent developments in Ophthalmology

Web-Seminar, Deutschland
Webinar

Sa25 Deep Learning - recent developments in Ophthalmology

Symposium of the DOG 2020 Online

Datum:
10.10.2020, 17:30 - 10.10.2020, 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.
Fortbildungspunkte: 

Fachärzte

Max. Teilnehmer: unbegrenzt
Gebühren ab: 120,00 EUR

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

Max. Teilnehmer: unbegrenzt
Gebühren ab: 120,00 EUR

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

Max. Teilnehmer: unbegrenzt
Gebühren ab: gebührenfrei

Hinweis:
The full congress is free for students and PhD students.
Bemerkungen:
Diese Veranstaltung findet einmalig statt und bietet Fortbildungsmöglichkeiten für Fachärzte, Ärzte/-innen in Weiterbildung und Studenten/-innen.
Veranstaltungsnummer: 34198
Gebühren ab: gebührenfrei
verfügbare Plätze: unbegrenzt
Sprache: Englisch
 
Vom Veranstalter gemeldetes Programm:

 

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

Veranstaltungsort:
This symposium is virtual.
Saal von Graefe
Anschrift:

Web-Seminar, Deutschland
Veranstalter:
DOG - Deutsche Ophthalmologische Gesellschaft e.V.
Organisation:

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

 

 
Hinweis:

Please contact the roganizer for further information.