A deep learning approach for automated scoring of the Rey–Osterrieth complex figure

A deep learning approach for automated scoring of the Rey–Osterrieth complex figure

Memory deficits are a hallmark of many different neurological and psychiatric conditions. The Rey–Osterrieth complex figure (ROCF) is the state-of-the-art assessment tool for neuropsychologists across the globe to assess the degree of non-verbal visual memory deterioration. To obtain a score, a trai...

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Main Authors: Nicolas Langer, Maurice Weber, Bruno Hebling Vieira, Dawid Strzelczyk, Lukas Wolf, Andreas Pedroni, Jonathan Heitz, Stephan Müller, Christoph Schultheiss, Marius Troendle, Juan Carlos Arango Lasprilla, Diego Rivera, Federica Scarpina, Qianhua Zhao, Rico Leuthold, Flavia Wehrle, Oskar Jenni, Peter Brugger, Tino Zaehle, Romy Lorenz, Ce Zhang
Format: Article
Language:English
Published: eLife Sciences Publications Ltd 2024-11-01
Series:eLife
Subjects:
neuropsychology
Rey–Osterrieth complex figure
ROCF
deep learning
crowdsourced human intelligence
memory deficit
Online Access:https://elifesciences.org/articles/96017
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https://elifesciences.org/articles/96017

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