Digital Recognition and Evaluation of the Clock Drawing Test
| dc.contributor.author | Oguz K. | |
| dc.contributor.author | Canliturk B. | |
| dc.contributor.author | Kabar C. | |
| dc.contributor.author | Durukan O. | |
| dc.contributor.author | Ozceylan B. | |
| dc.date.accessioned | 2023-06-16T15:00:55Z | |
| dc.date.available | 2023-06-16T15:00:55Z | |
| dc.date.issued | 2018 | |
| dc.description | Aselsan;et al.;Huawei;IEEE Signal Processing Society;IEEE Turkey Section;Netas | en_US |
| dc.description | 26th IEEE Signal Processing and Communications Applications Conference, SIU 2018 -- 2 May 2018 through 5 May 2018 -- 137780 | en_US |
| dc.description.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. | en_US |
| dc.identifier.doi | 10.1109/SIU.2018.8404220 | |
| dc.identifier.isbn | 9.78E+12 | |
| dc.identifier.scopus | 2-s2.0-85082355470 | |
| dc.identifier.uri | https://doi.org/10.1109/SIU.2018.8404220 | |
| dc.identifier.uri | https://hdl.handle.net/20.500.14365/3606 | |
| dc.language.iso | tr | en_US |
| dc.publisher | Institute of Electrical and Electronics Engineers Inc. | en_US |
| dc.relation.ispartof | 26th IEEE Signal Processing and Communications Applications Conference, SIU 2018 | en_US |
| dc.rights | info:eu-repo/semantics/closedAccess | en_US |
| dc.subject | Artificial neural networks | en_US |
| dc.subject | Character recognition | en_US |
| dc.subject | Clock drawing test | en_US |
| dc.subject | Hough transform | en_US |
| dc.subject | Character recognition | en_US |
| dc.subject | Clocks | en_US |
| dc.subject | Diagnosis | en_US |
| dc.subject | Hough transforms | en_US |
| dc.subject | Image processing | en_US |
| dc.subject | Processing | en_US |
| dc.subject | Digital recognition | en_US |
| dc.subject | Early diagnosis | en_US |
| dc.subject | Graphical features | en_US |
| dc.subject | Healthy subjects | en_US |
| dc.subject | Image processing - methods | en_US |
| dc.subject | Neural networks | en_US |
| dc.title | Digital Recognition and Evaluation of the Clock Drawing Test | en_US |
| dc.title.alternative | Araç Sürüs Karakteristiginin Analizi ve Kaza Tespiti | en_US |
| dc.type | Conference Object | en_US |
| dspace.entity.type | Publication | |
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| gdc.description.departmenttemp | Oguz, K., Bilgisayar Muhendisli?i Bolumu, Izmir Ekonomi Universitesi, Balçova, Izmir, 35330, Turkey; Canliturk, B., Yazilim Muhendisli?i Bolumu, Izmir Ekonomi Universitesi, Balçova, Izmir, 35330, Turkey; Kabar, C., Yazilim Muhendisli?i Bolumu, Izmir Ekonomi Universitesi, Balçova, Izmir, 35330, Turkey; Durukan, O., Yazilim Muhendisli?i Bolumu, Izmir Ekonomi Universitesi, Balçova, Izmir, 35330, Turkey; Ozceylan, B., Yazilim Muhendisli?i Bolumu, Izmir Ekonomi Universitesi, Balçova, Izmir, 35330, Turkey | en_US |
| gdc.description.endpage | 4 | en_US |
| gdc.description.publicationcategory | Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı | en_US |
| gdc.description.scopusquality | N/A | |
| gdc.description.startpage | 1 | en_US |
| gdc.description.wosquality | N/A | |
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| gdc.oaire.sciencefields | 03 medical and health sciences | |
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| gdc.virtual.author | Oğuz, Kaya | |
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