![](/images/graphics-bg.png)
An Approach to Evaluate Blurriness in Retinal Images with Vitreous Opacity for Cataract Diagnosis
Joint Authors
Source
Journal of Healthcare Engineering
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-16, 16 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-04-26
Country of Publication
Egypt
No. of Pages
16
Main Subjects
Abstract EN
Cataract is one of the leading causes of blindness in the world’s population.
A method to evaluate blurriness for cataract diagnosis in retinal images with vitreous opacity is proposed in this paper.
Three types of features are extracted, which include pixel number of visible structures, mean contrast between vessels and background, and local standard deviation.
To avoid the wrong detection of vitreous opacity as retinal structures, a morphological method is proposed to detect and remove such lesions from retinal visible structure segmentation.
Based on the extracted features, a decision tree is trained to classify retinal images into five grades of blurriness.
The proposed approach was tested using 1355 clinical retinal images, and the accuracies of two-class classification and five-grade grading compared with that of manual grading are 92.8% and 81.1%, respectively.
The kappa value between automatic grading and manual grading is 0.74 in five-grade grading, in which both variance and P value are less than 0.001.
Experimental results show that the grading difference between automatic grading and manual grading is all within 1 grade, which is much improvement compared with that of other available methods.
The proposed grading method provides a universal measure of cataract severity and can facilitate the decision of cataract surgery.
American Psychological Association (APA)
Xiong, Li& Li, Huiqi& Xu, Liang. 2017. An Approach to Evaluate Blurriness in Retinal Images with Vitreous Opacity for Cataract Diagnosis. Journal of Healthcare Engineering،Vol. 2017, no. 2017, pp.1-16.
https://search.emarefa.net/detail/BIM-1181056
Modern Language Association (MLA)
Xiong, Li…[et al.]. An Approach to Evaluate Blurriness in Retinal Images with Vitreous Opacity for Cataract Diagnosis. Journal of Healthcare Engineering No. 2017 (2017), pp.1-16.
https://search.emarefa.net/detail/BIM-1181056
American Medical Association (AMA)
Xiong, Li& Li, Huiqi& Xu, Liang. An Approach to Evaluate Blurriness in Retinal Images with Vitreous Opacity for Cataract Diagnosis. Journal of Healthcare Engineering. 2017. Vol. 2017, no. 2017, pp.1-16.
https://search.emarefa.net/detail/BIM-1181056
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1181056