Diabetic Retinopathy Grading by Digital Curvelet Transform
Joint Authors
Hajeb Mohammad Alipour, Shirin
Rabbani, Hossein
Akhlaghi, Mohammad Reza
Source
Computational and Mathematical Methods in Medicine
Issue
Vol. 2012, Issue 2012 (31 Dec. 2012), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2012-09-12
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
One of the major complications of diabetes is diabetic retinopathy.
As manual analysis and diagnosis of large amount of images are time consuming, automatic detection and grading of diabetic retinopathy are desired.
In this paper, we use fundus fluorescein angiography and color fundus images simultaneously, extract 6 features employing curvelet transform, and feed them to support vector machine in order to determine diabetic retinopathy severity stages.
These features are area of blood vessels, area, regularity of foveal avascular zone, and the number of micro-aneurisms therein, total number of micro-aneurisms, and area of exudates.
In order to extract exudates and vessels, we respectively modify curvelet coefficients of color fundus images and angiograms.
The end points of extracted vessels in predefined region of interest based on optic disk are connected together to segment foveal avascular zone region.
To extract micro-aneurisms from angiogram, first extracted vessels are subtracted from original image, and after removing detected background by morphological operators and enhancing bright small pixels, micro-aneurisms are detected.
70 patients were involved in this study to classify diabetic retinopathy into 3 groups, that is, (1) no diabetic retinopathy, (2) mild/moderate nonproliferative diabetic retinopathy, (3) severe nonproliferative/proliferative diabetic retinopathy, and our simulations show that the proposed system has sensitivity and specificity of 100% for grading.
American Psychological Association (APA)
Hajeb Mohammad Alipour, Shirin& Rabbani, Hossein& Akhlaghi, Mohammad Reza. 2012. Diabetic Retinopathy Grading by Digital Curvelet Transform. Computational and Mathematical Methods in Medicine،Vol. 2012, no. 2012, pp.1-11.
https://search.emarefa.net/detail/BIM-496743
Modern Language Association (MLA)
Hajeb Mohammad Alipour, Shirin…[et al.]. Diabetic Retinopathy Grading by Digital Curvelet Transform. Computational and Mathematical Methods in Medicine No. 2012 (2012), pp.1-11.
https://search.emarefa.net/detail/BIM-496743
American Medical Association (AMA)
Hajeb Mohammad Alipour, Shirin& Rabbani, Hossein& Akhlaghi, Mohammad Reza. Diabetic Retinopathy Grading by Digital Curvelet Transform. Computational and Mathematical Methods in Medicine. 2012. Vol. 2012, no. 2012, pp.1-11.
https://search.emarefa.net/detail/BIM-496743
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-496743