Prediction diabetic retinopathy from retinal fundus images via artificial neural network
Küçük Resim Yok
Tarih
2021
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Maltepe Üniversitesi
Erişim Hakkı
CC0 1.0 Universal
info:eu-repo/semantics/openAccess
info:eu-repo/semantics/openAccess
Özet
. Diabetic Retinopathy (DR) is a vascular disorder affecting the retina due to prolonged diabetes. DR is one of the causes of vision defection. The risk of blindness can be reduced significantly in patients by early screening of diabetic patients for the development of diabetic retinopathy. In this study, vascular structure was extracted from fundus images using the Kirsch‘s method. Gaussian filter has been applied to the extracted vascular structure and removed from its noise. In this way, the detection of DR by pre-trained artificial intelligence has been made significantly easier.
Açıklama
Anahtar Kelimeler
Diabetic Retinopathy, Artificial Neural Network, Retinal Image
Kaynak
Fourth International Conference of Mathematical Sciences
WoS Q Değeri
N/A
Scopus Q Değeri
Cilt
Sayı
Künye
Yenikaya, M. A. ve Güvenoğlu, E. (2021). Prediction diabetic retinopathy from retinal fundus images via artificial neural network. Fourth International Conference of Mathematical Sciences, Maltepe Üniversitesi. s. 1-5.
