Advanced Search

Show simple item record

dc.contributor.authorAlbayrak, Batuhan
dc.contributor.authorDarıcı, Muazzez Buket
dc.contributor.authorKiracı, Furkan
dc.contributor.authorÖğrenci, Arif Selçuk
dc.contributor.authorÖzmen, Atilla
dc.contributor.authorErtez, Kerem
dc.description.abstractAnemia 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.subjectImage Processingen_US
dc.subjectCircular Hough Transform(CHT)en_US
dc.subjectSickle Cell Anemiaen_US
dc.titleSickle Cell Anemia Detectionen_US
dc.relation.journal2018 Medical Technologies National Congress (TIPTEKNO)en_US
dc.departmentFakülteler, Mühendislik ve Doğa Bilimleri Fakültesi, Elektrik-Elektronik Mühendisliği Bölümüen_US
dc.institutionauthorAlbayrak, Batuhanen_US
dc.institutionauthorDarıcı, Muazzez Buketen_US
dc.institutionauthorKiracı, Furkanen_US
dc.institutionauthorÖğrenci, Arif Selçuken_US
dc.institutionauthorÖzmen, Atillaen_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US

Files in this item


There are no files associated with this item.

This item appears in the following Collection(s)

Show simple item record