Yunus Kökver, Halil Murat ÜNVER, Ebru AYDOĞAN

Retina görüntülerinden kan damarlarının segmentasyonu

Retina görüntülerinden hastalık teşhisinin yapılabilmesinin ilk adımı kan damarlarının segmente edilmesidir. Bu çalışmada retina görüntüleri üzerinden kan damarlarının çıkartılması üzerine yapılan çalışmaları incelemeyi amaçlamaktadır. Bu nedenle literatürdeki mevcut makaleler kullanılan yöntemleri belirlemeye odaklanarak sistematik olarak derlenmiştir. Damar segmentasyonu problemine çözüm getiren ve literatürde bu alandaki ilk çalışmadan başlayarak son zamanlara kadar yapılan çalışmalardaki çözümler bazı kriterler dahilinde değerlendirilmiştir. Bu derleme çalışmasından anlaşılıyor ki, yıllar içerisinde segmentasyon için kullanılan yöntemlerde ciddi bir ilerleme kaydedilmiş ve retina görüntülerinden tüm damarların segmentasyonu kolaylıkla yapılabilir düzeye gelmiştir.

Anahtar Kelimeler:

Retina, damar segmentasyonu, makine öğrenmesi, filtreleme, morfolojik operatörler

Segmentation of blood vessels from retinal images

The first step in diagnosing the disease from retinal images is the segmentation of blood vessels. In this study, it was aimed to investigate the extraction of blood vessels from retinal images. For this reason, existing articles in the literature have been compiled systematically, focusing on the identification of the methods used. Starting from the first study in the literatüre about this problem, solutions to the problem of vessel segmentation and studies until recently have been evaluated within the framework of some criteria. It can be concluded from this review, significant progress has been made in the methods used for segmentation over the years and segmentation of all vessels from retinal images has been made easily.

Keywords:

Retina, vessel segmentation, machine learning, filtering, morphological operators,

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