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...

詳細記述

書誌詳細
主要な著者: Jun Young Park, Eun Hyun Seo, Hyung-Jun Yoon, Sungho Won, Kun Ho Lee
フォーマット: 論文
言語:English
出版事項: BMC 2023-08-01
シリーズ:Alzheimer’s Research & Therapy
主題:
Alzheimer’s disease
Rey Complex Figure Test
Scoring
Artificial intelligence
Deep learning
Convolutional neural network
オンライン･アクセス:https://doi.org/10.1186/s13195-023-01283-w

インターネット

https://doi.org/10.1186/s13195-023-01283-w

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