Odin's Eye – A Close Look at Gamification of Labelling of Ophthalmic Diseases

Background: State-of-the-art deep learning [ref:1] requires vast amounts of accurately labeled training data to enable high classification performance [ref:2]. To obtain sufficient amounts of data, data donation is a feasible approach [ref:3]. Yet, the data is only usable,[for full text, please go to the a.m. URL]

65th Annual Meeting of the German Association for Medical Informatics, Biometry and Epidemiology (GMDS), Meeting of the Central European Network (CEN: German Region, Austro-Swiss Region and Polish Region) of the International Biometric Society (IBS)

Related Organizations

University of Erlangen-Nuremberg
Germany

Keywords

deep learning, 610 Medical sciences; Medicine, Gamification, Medical Data Annotation, ophthalmology, machine learning, ddc: 610, classification, Crowd-Sourcing, Efficient Labelling, gamification

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