@inproceedings{a587940e9c2b40f4a36d1e6b359c1817,
title = "Hemorrhage segmentation using mathematical morphology and digital image processing",
abstract = "Diabetic Retinopathy is one of the complication diseases caused by diabetes mellitus. This disease attacks the retinal eye of human. There are three stages of this disease (mild, moderate and severe). Appearance of Hemorrhage is one of any symptoms included in Non Proliferative Diabetic Retinopathy. Hemorrhage appears on the second and third stages. This study is aimed to detect existences of hemorrhages. We employ morphological operations, filtering techniques, removing blood vessels and macula to detect them. This segmentation model achieves the best accuracy of 85.25% for the retinal images.",
keywords = "filtering, hemorrhage, moderate, morphology, non proliferative diabetic retinopathy, severe",
author = "Putra, {Ricky Eka} and Handayani Tjandrasa and Nanik Suciati",
note = "Publisher Copyright: {\textcopyright} 2014 IEEE.; 2014 International Conference on Information, Communication Technology and System, ICTS 2014 ; Conference date: 24-09-2014",
year = "2014",
doi = "10.1109/ICTS.2014.7010573",
language = "English",
series = "Proceedings of 2014 International Conference on Information, Communication Technology and System, ICTS 2014",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "141--145",
booktitle = "Proceedings of 2014 International Conference on Information, Communication Technology and System, ICTS 2014",
address = "United States",
}
