Detection of Diabetic Retinopathy and Maculopathy in Eye Fundus Images Using Fuzzy Image Processing

被引：22
|
作者：
Rahim, Sarni Suhaila
Palade, Vasile
Jayne, Chrisina
Holzinger, Andreas
Shuttleworth, James
机构：
来源：
BRAIN INFORMATICS AND HEALTH (BIH 2015) | 2015年 / 9250卷
关键词：
Diabetic retinopathy; Eye screening; Colour fundus images; Fuzzy image processing; Machine learning; Classifiers;
D O I：
10.1007/978-3-319-23344-4_37
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Diabetic retinopathy is a damage of the retina and it is one of the serious consequences of the diabetes. Early detection of diabetic retinopathy is extremely important in order to prevent premature visual loss and blindness. This paper presents a novel automatic detection of diabetic retinopathy and maculopathy in eye fundus images using fuzzy image processing. The detection of maculopathy is essential as it will eventually cause loss of vision if the affected macula is not timely treated. The developed system consists of image acquisition, image preprocessing with a combination of fuzzy techniques, feature extraction, and image classification by using several machine learning techniques. The fuzzy-based image processing decision support system will assist in the diabetic retinopathy screening and reduce the burden borne by the screening team.
引用
收藏
页码：379 / 388
页数：10
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