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Detection of Microaneurysm in Retinal Image
IJCA Proceedings on International Conference on Quality Up-gradation in Engineering Science and Technology
© 2017 by IJCA Journal
ICQUEST 2016 - Number 2
Year of Publication: 2017
Snehal Gawande and Nita Nimbarte. Article: Detection of Microaneurysm in Retinal Image. IJCA Proceedings on International Conference on Quality Up-gradation in Engineering Science and Technology ICQUEST 2016(2):21-24, August 2017. Full text available. BibTeX
@article{key:article,
author = {Snehal Gawande and Nita Nimbarte},
title = {Article: Detection of Microaneurysm in Retinal Image},
journal = {IJCA Proceedings on International Conference on Quality Up-gradation in Engineering Science and Technology},
year = {2017},
volume = {ICQUEST 2016},
number = {2},
pages = {21-24},
month = {August},
note = {Full text available}
}
Abstract
Diabetic retinopathy considered as main cause of blindness. Presence of microaneurysm (MA) is the first symptoms of diabetic retinopathy. This paper presents a method for detection of microaneurysms from retinal image by applying preprocessing method in order to remove blood vessels using morphological operations. This preprocessed image was then used for feature extraction. This algorithm is tested on publically available dataset DIARETDB1. As a result, the weighted error rate (WER) and receiving operating curve (ROC) is given for this method.
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