Abstract:
:Diabetes is a chronic end organ disease that occurs when the pancreas does not secrete enough insulin or the body is unable to process it properly. Over time, diabetes affects the circulatory system, including that of the retina. Diabetic retinopathy is a medical condition where the retina is damaged because fluid leaks from blood vessels into the retina. Ophthalmologists recognize diabetic retinopathy based on features, such as blood vessel area, exudes, hemorrhages, microaneurysms and texture. In this paper we review algorithms used for the extraction of these features from digital fundus images. Furthermore, we discuss systems that use these features to classify individual fundus images. The classifications efficiency of different DR systems is discussed. Most of the reported systems are highly optimized with respect to the analyzed fundus images, therefore a generalization of individual results is difficult. However, this review shows that the classification results improved has improved recently, and it is getting closer to the classification capabilities of human ophthalmologists.
journal_name
J Med Systjournal_title
Journal of medical systemsauthors
Faust O,Acharya U R,Ng EY,Ng KH,Suri JSdoi
10.1007/s10916-010-9454-7subject
Has Abstractpub_date
2012-02-01 00:00:00pages
145-57issue
1eissn
0148-5598issn
1573-689Xjournal_volume
36pub_type
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