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Clock Drawing Test Evaluation via Object Detection for Automatic Cognitive Impairment Diagnosis

Authors :
Qiaosha Zou
Tang Yanmin
Xin Wang
Xin-yu Feng
Yiyun Zhang
Jing Ding
Source :
2020 IEEE 6th International Conference on Computer and Communications (ICCC).
Publication Year :
2020
Publisher :
IEEE, 2020.

Abstract

Dementia refers to a group of syndromes with cognitive impairment as the main clinical manifestation. Amongst various neuropsychological tests for clinical diagnosis of dementia, the clock drawing test (CDT) is frequently used due to its simplicity and effectiveness. In order to extricate physicians from their involvement in CDT scoring, we propose an automatic scoring method via object detection for accurate and efficient dementia screening. Given the drawn clock picture by a testee, this end-to-end method for CDT scoring directly produces the final score without any human interventions. Moreover, the proposed method can handle two ways of data acquisition scanned data set which contains the scanned version of drawn clocks and camera data set which consists of the drawn clocks taken from normal cameras. Extensive experimental results demonstrate the validity and feasibility of the proposed method. Specifically, the precision of the scanned dataset scored by a seven-point method and the camera dataset by a three-point method is 94.64% and 92.36% respectively, while that of junior outpatient physicians is 92.03% within the camera dataset.

Details

Database :
OpenAIRE
Journal :
2020 IEEE 6th International Conference on Computer and Communications (ICCC)
Accession number :
edsair.doi...........4300dfb5c9561763537488af6e357b65
Full Text :
https://doi.org/10.1109/iccc51575.2020.9345030