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Automated Diagnose of Neovascular Glaucoma Disease using advance Image Analysis Technique
| International Journal of Applied Information Systems |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 9 - Number 6 |
| Year of Publication: 2015 |
| Authors: Pavitra G., T.C. Manjunath, Dharmanna Lamani, Chandrappa S. |
10.5120/ijais2015451374
|
Pavitra G., T.C. Manjunath, Dharmanna Lamani, Chandrappa S. . Automated Diagnose of Neovascular Glaucoma Disease using advance Image Analysis Technique. International Journal of Applied Information Systems. 9, 6 ( September 2015), 1-6. DOI=10.5120/ijais2015451374
Abstract
Neovascular glaucoma is a secondary glaucoma that is developed due to improper control of glucose level in diabetic patients. This disease is highly complex to manage and can lead to permanent vision loss. Once this disease develops, early detection plays very important role to ophthalmologist to start treatment in order to reduce the visionlossprogression. Current detection techniques detect the glaucoma after 40% vision loss. In this research paper, the authors are presenting diagnosis of neovascular glaucoma using image feature fractal dimension. Fractal dimension is a unique parameter to identify healthy and neovascular retina. In this work, we are adapted Support vector machine for the classification of result. Result of our proposed method shows that Fractal dimension values found for the healthy retina is in the range of 1.20 to 1.70, whereas for neovascular glaucoma affected retina, it exceeds the upper limit.
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