Papilledema Detection in Fundus Images Using Hybrid Feature Set

被引：0

作者：

Fatima, Khush Naseeb ^{[1
]}

Akram, M. Usman ^{[1
]}

Bazaz, Shafaat A. ^{[2
]}

机构：

[1] NUST, Coll EME, Dept Comp Engn, Islamabad, Pakistan

[2] CASE, Dept Comp Sci, Islamabad, Pakistan

来源：

2015 5TH INTERNATIONAL CONFERENCE ON IT CONVERGENCE AND SECURITY (ICITCS) | 2015年

关键词：

Papilledema; optic disc; feature set; classification;

D O I：

暂无

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

Papilledema is the swelling of the optic disc. It is a symptom of several diseases including some life-threatening diseases as well. Therefore it needs to be detected as soon as possible. If it is not detected on time and reaches its final stage, it can also lead to permanent vision loss. In this paper, we have given a simple and efficient method to automatically detect papilledema through fundus images. The dataset used is taken from STARE. After preprocessing of the fundus images, 13 features are extracted which are helpful in detecting this disease and combined to form a feature set. After feature extraction, classification is done using SVM classifier on this feature set. The method gives an accuracy of 96.67%.

引用

页数：4

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