Automating Rey Complex Figure Test scoring using a deep learning-based approach: a potential large-scale screening tool for cognitive decline

Automating Rey Complex Figure Test scoring using a deep learning-based approach: a potential large-scale screening tool for cognitive decline

Abstract Background The Rey Complex Figure Test (RCFT) has been widely used to evaluate the neurocognitive functions in various clinical groups with a broad range of ages. However, despite its usefulness, the scoring method is as complex as the figure. Such a complicated scoring system can lead to t...

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Bibliographic Details
Main Authors: Jun Young Park, Eun Hyun Seo, Hyung-Jun Yoon, Sungho Won, Kun Ho Lee
Format: Article
Language:English
Published: BMC 2023-08-01
Series:Alzheimer’s Research & Therapy
Subjects:
Alzheimer’s disease
Rey Complex Figure Test
Scoring
Artificial intelligence
Deep learning
Convolutional neural network
Online Access:https://doi.org/10.1186/s13195-023-01283-w

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