Diabetic Retinopathy Classification Using C4.5

被引：3

作者：

Park, Mira ^{[1
]}

Summons, Peter ^{[1
]}

机构：

[1] Univ Newcastle, Sch Elect Engn & Comp, Callaghan, NSW 2308, Australia

来源：

KNOWLEDGE MANAGEMENT AND ACQUISITION FOR INTELLIGENT SYSTEMS (PKAW 2018) | 2018年 / 11016卷

关键词：

Diabetic retinopathy; Microaneurysms; C4.5 Automatic detection;

D O I：

10.1007/978-3-319-97289-3_7

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Early detection of diabetic retinopathy (DR) can prevent blindness and improve the quality of life. Practical detection requires a cost-effective screening over a large population. The presence of Microaneurysms (MAs) in a retinal image is the earliest sign of DR. This paper presents an efficient method to automatically detect MAs in a retinal image. The method is based on an advanced wavelet transform and the C4.5 algorithm (a categorization algorithm to distinguish DR and non-DR cases). It uses both the green and red channel data in RGB retinal images for detection of small sized MAs and obtains image feature parameters from the input image. A system was developed to implement the proposed method that displayed a sensitivity of 0.92 and a precision of 0.82.

引用

页码：90 / 101

页数：12

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