A low cost medical image digitization setup for enhancement and analyzing of conventional X-ray images
dc.authorid | 0000-0002-5994-7587 | |
dc.contributor.author | Korkmaz, Hayriye | |
dc.contributor.author | Alsan, Sezgin | |
dc.date.accessioned | 2020-11-21T15:56:08Z | |
dc.date.available | 2020-11-21T15:56:08Z | |
dc.date.issued | 2013 | en_US |
dc.department | İstanbul Ticaret Üniversitesi, Mühendislik ve Tasarım Fakültesi, Bilgisayar Mühendisliği Bölümü | en_US |
dc.description | 2013 3rd IEEE International Conference on Signal and Image Processing Applications, IEEE ICSIPA 2013 -- 8 October 2013 through 10 October 2013 -- Melaka -- 102487 | en_US |
dc.description.abstract | In medical industry, studies about storing, processing, analyzing and re-accessing the patient's information and images are intensively continuing. Both printed and digital medical images take more spaces than the others. In this paper, a mechanism which transfers easily the printed X-ray images to the digital environment enabling radiological assessment and archiving is set and a software is developed to help the analysis of those images. It is aimed to digitize the conventional images with a minimum loss while keeping the image quality. The setup which is in a closed box consists of a light source, a camera for image transfer and lenses. The software provides applying the image processing algorithms on digitized images and archiving them in DICOM format. © 2013 IEEE. | en_US |
dc.description.sponsorship | IEEE,IEEE Signal Proc Soc, Malaysia Sect,Nilai Univ,Univ Teknologi Malaysia,Multimedia Univ,Univ Tenaga Nas,Univ Teknologi MARA,Univ Teknikal Malaysia Melaka,Univ Putra Malaysia | |
dc.description.sponsorship | University Scientific Research Projects Unit [FEN-D-120813- 0353] | |
dc.description.sponsorship | This work was supported by Marmara University Scientific Research Projects Unit (FEN-D-120813- 0353). Thanks for supporting the unit. | |
dc.identifier.doi | 10.1109/ICSIPA.2013.6707984 | en_US |
dc.identifier.endpage | 100 | en_US |
dc.identifier.isbn | 978-1-4799-0269-9 | |
dc.identifier.isbn | 978-1-4799-0267-5 | |
dc.identifier.scopus | 2-s2.0-84894142005 | en_US |
dc.identifier.scopusquality | N/A | en_US |
dc.identifier.startpage | 95 | en_US |
dc.identifier.uri | https://doi.org/10.1109/ICSIPA.2013.6707984 | |
dc.identifier.uri | https://hdl.handle.net/11467/4095 | |
dc.identifier.wos | WOS:000335855200018 | |
dc.identifier.wosquality | N/A | |
dc.indekslendigikaynak | Web of Science | en_US |
dc.indekslendigikaynak | Scopus | en_US |
dc.language.iso | en | en_US |
dc.publisher | IEEE Computer Society | en_US |
dc.relation.ispartof | IEEE ICSIPA 2013 - IEEE International Conference on Signal and Image Processing Applications | en_US |
dc.relation.publicationcategory | Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı | en_US |
dc.rights | info:eu-repo/semantics/closedAccess | en_US |
dc.subject | Image Acquisition | en_US |
dc.subject | Image Digitization | en_US |
dc.subject | MATLAB | en_US |
dc.subject | IEEE 1394 Camera | en_US |
dc.subject | Lens | en_US |
dc.title | A low cost medical image digitization setup for enhancement and analyzing of conventional X-ray images | en_US |
dc.type | Conference Object | en_US |
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