Sickle Cell Anemia Detection
| dc.contributor.author | Albayrak, Batuhan | |
| dc.contributor.author | Darıcı, Muazzez Buket | |
| dc.contributor.author | Darıcı, Muazzez Buket | |
| dc.contributor.author | Özmen, Atilla | |
| dc.contributor.author | Kiracı, Furkan | |
| dc.contributor.author | Öğrenci, Arif Selçuk | |
| dc.contributor.author | Özmen, Atilla | |
| dc.contributor.author | Ertez, Kerem | |
| dc.contributor.other | Electrical-Electronics Engineering | |
| dc.date.accessioned | 2019-06-27T08:00:57Z | |
| dc.date.available | 2019-06-27T08:00:57Z | |
| dc.date.issued | 2018 | |
| dc.department | Fakülteler, Mühendislik ve Doğa Bilimleri Fakültesi, Elektrik-Elektronik Mühendisliği Bölümü | en_US |
| dc.description.abstract | Anemia is a common name given to falls in oxygen transport capacity due to some of the functional disadvantages of red blood cells. Pathology Laboratorians put the tissue on the microscope glass and try to diagnose Anemia disease. Processes have been taken for a long time and it has been caused to distract. Therefore it has been caused to misdiagnose the Laboratorian. This work shortens the diagnostic period of the disease and to minimizes error probability of this diagnosis by extracting healthy cells and just having sickle cells on the blood tissue using Image Processing Algorithms with an accuracy of 91.11 % precision of 92.9 % recall of 79.05 % for Sickle Cell Anemia. | en_US] |
| dc.identifier.citationcount | 0 | |
| dc.identifier.isbn | 978-1-5386-6852-8 | |
| dc.identifier.scopus | 2-s2.0-85061746235 | en_US |
| dc.identifier.uri | https://hdl.handle.net/20.500.12469/177 | |
| dc.identifier.wos | WOS:000467637600069 | en_US |
| dc.institutionauthor | Albayrak, Batuhan | en_US |
| dc.institutionauthor | Darıcı, Muazzez Buket | en_US |
| dc.institutionauthor | Kiracı, Furkan | en_US |
| dc.institutionauthor | Öğrenci, Arif Selçuk | en_US |
| dc.institutionauthor | Özmen, Atilla | en_US |
| dc.language.iso | en | en_US |
| dc.publisher | IEEE | en_US |
| dc.relation.journal | 2018 Medical Technologies National Congress (TIPTEKNO) | en_US |
| dc.relation.publicationcategory | Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı | en_US |
| dc.rights | info:eu-repo/semantics/closedAccess | en_US |
| dc.scopus.citedbyCount | 2 | |
| dc.subject | Image Processing | en_US |
| dc.subject | Circular Hough Transform(CHT) | en_US |
| dc.subject | Sickle Cell Anemia | en_US |
| dc.title | Sickle Cell Anemia Detection | en_US |
| dc.type | Conference Object | en_US |
| dc.wos.citedbyCount | 0 | |
| dspace.entity.type | Publication | |
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