Digital Recognition and Evaluation of the Clock Drawing Test
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Date
2018
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Institute of Electrical and Electronics Engineers Inc.
Open Access Color
Green Open Access
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Abstract
Dementia affects the lives of millions of people. Digital recognition and evaluation of the Clock Drawing Test that is used for diagnosis will remove subjective manual evaluation and will increase the awareness and early diagnosis. The proposed system evaluates the clocks drawn to the paper and loaded to it by extracting their graphical features. Besides image processing methods, artificial neural networks are used to detect the numbers. The results of the system are in accordance with the manual evaluation for 35 clocks drawn by healthy subjects. © 2018 IEEE.
Description
Aselsan;et al.;Huawei;IEEE Signal Processing Society;IEEE Turkey Section;Netas
26th IEEE Signal Processing and Communications Applications Conference, SIU 2018 -- 2 May 2018 through 5 May 2018 -- 137780
26th IEEE Signal Processing and Communications Applications Conference, SIU 2018 -- 2 May 2018 through 5 May 2018 -- 137780
Keywords
Artificial neural networks, Character recognition, Clock drawing test, Hough transform, Character recognition, Clocks, Diagnosis, Hough transforms, Image processing, Processing, Digital recognition, Early diagnosis, Graphical features, Healthy subjects, Image processing - methods, Neural networks
Fields of Science
03 medical and health sciences, 0302 clinical medicine
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OpenCitations Citation Count
2
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26th IEEE Signal Processing and Communications Applications Conference, SIU 2018
Volume
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1
End Page
4
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Scopus : 3
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