Dijital Mikroskop Altında Alınan Kan Hücresi Görüntülerinden Beyaz Kan Hücrelerinin Algılanması ve Sınıflandırılması

Year 2019, Volume: 15 Issue: 3, 23 - 43, 30.12.2019

Furkan Çam Ayşegül Güven

Abstract

Kan yapısında bulunan beyaz kan hücrelerinin sayısı, yapısı ve şekli
klinik açıdan önemli bilgilere ulaşmamızı sağlamaktadır. Bu bilgilere ulaşmak
için alınan mikroskop görüntüleri incelenmekte ve elde edilen bulgular doktora
iletilmektedir. Ancak uzmanlar tarafından manuel olarak yapılan bu işlemler
yorucu ve zaman kaybına sebebiyet vermektedir. Bu sebeplerden dolayı otomatik olarak
hücrelerin belirlenmesi ve hangi sınıfa ait olduğunun tespit edilmesi,
işlemleri hızlandıracak ve daha fazla verinin incelenebilmesine olanak
sağlayacaktır. Araştırmacıların çoğu hücre sayımı ve algılanması üzerine
çeşitli metodolojiler kullanmaktadırlar. Bu makalemizde kullanılan
metodolojiler üzerinde duracağız. Amaç, daha fazla doğruluk elde etmek için bu metodolojileri incelemek ve
gelecekteki araştırmalara yön vermektir. 

Keywords

Beyaz kan hücreleri (BKH), Görüntü işleme, segmantasyon, sınıflandırma

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