Please use this identifier to cite or link to this item:
https://hdl.handle.net/20.500.14365/3606
Title: | Digital recognition and evaluation of the clock drawing test | Other Titles: | Araç Sürüs Karakteristiginin Analizi ve Kaza Tespiti | Authors: | Oguz K. Canliturk B. Kabar C. Durukan O. Ozceylan B. |
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 |
Publisher: | Institute of Electrical and Electronics Engineers Inc. | 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 |
URI: | https://doi.org/10.1109/SIU.2018.8404220 https://hdl.handle.net/20.500.14365/3606 |
ISBN: | 9.78154E+12 |
Appears in Collections: | Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection |
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