Automatic Microaneurysm Detection from Non-dilated Diabetic Retinopathy Retinal Images

被引：0

作者：

Sopharak, Akara ^{[1
]}

Uyyanonvara, Bunyarit ^{[2
]}

Barman, Sarah ^{[3
]}

Williamson, Tom ^{[4
]}

机构：

[1] Burapha Univ, Fac Sci & Arts, Chanthaburi Campus,57 Moo 1, Thamai 22170, Chantaburi, Thailand

[2] Thammasat Univ, Sirindhorn Int Inst Technol, Muang 12000, Pathumthani, Thailand

[3] Univ Kingston, Kingston Upon Thames KT1 2EE, Surrey, England

[4] St Thomas Hosp, Dept Ophthalmol, London SE1 7EH, England

来源：

WORLD CONGRESS ON ENGINEERING, WCE 2011, VOL II | 2011年

关键词：

diabetic retinopathy; microaneurysms; EXUDATE DETECTION;

D O I：

暂无

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

Microaneurysms are the first clinical sign of diabetic retinopathy. The number of microaneurysms is used to indicate the severity of the disease. Early microaneurysm detection can help reduce the incidence of blindness. This paper investigates a set of optimally adjusted morphological operators used for microaneurysm detection on non-dilated pupil and low-contrast retinal images. The detected microaneurysms are validated by comparing with ophthalmologists' hand-drawn ground-truth. As a result, the sensitivity, specificity, precision and accuracy were 81.61, 99.99, 63.76 and 99.98%, respectively.

引用

页码：1583 / 1586

页数：4

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