Google scholar arxiv informatics ads IJAIS publications are indexed with Google Scholar, NASA ADS, Informatics et. al.

Call for Paper

-

October Edition 2017

International Journal of Applied Information Systems solicits high quality original research papers for the October 2017 Edition of the journal. The last date of research paper submission is September 15, 2017.

Automated Diagnose of Neovascular Glaucoma Disease using advance Image Analysis Technique

Pavitra G., T.C. Manjunath, Dharmanna Lamani, Chandrappa S.. Published in Image Processing

International Journal of Applied Information Systems
Year of Publication: 2015
Publisher: Foundation of Computer Science (FCS), NY, USA
Authors: Pavitra G., T.C. Manjunath, Dharmanna Lamani, Chandrappa S.
10.5120/ijais2015451374
Download full text
  1. Pavitra G., T C Manjunath, Dharmanna Lamani and Chandrappa S.. Article: Automated Diagnose of Neovascular Glaucoma Disease using advance Image Analysis Technique. International Journal of Applied Information Systems 9(6):1-6, September 2015. BibTeX

    @article{key:article,
    	author = "Pavitra G. and T.C. Manjunath and Dharmanna Lamani and Chandrappa S.",
    	title = "Article: Automated Diagnose of Neovascular Glaucoma Disease using advance Image Analysis Technique",
    	journal = "International Journal of Applied Information Systems",
    	year = 2015,
    	volume = 9,
    	number = 6,
    	pages = "1-6",
    	month = "September",
    	note = "Published by Foundation of Computer Science (FCS), NY, USA"
    }
    

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.

Reference

  1. K.Narasimhan and Dr.K.Vijayarekha,”An efficient automated system for glaucoma detection using fundus images”, Journal of Theoretical and Applied InformationTechnology, ISSN: 1992_8645, Vol.33, No.1, pp.104_110, November 2011.
  2. ArulmozhivarmanPachiyappan, Undurti N Das, Tatavarti VSP Murthy and RaoTatavarti,” Automated diagnosis of diabetic retinopathy and glaucoma using fundus and OCT images”, Pachiyappan et al. Lipids in Health and Disease, ISSN.11_73,pp.1_10,June 2012.
  3. Rüdiger Bock, Jörg Meier, László G, Nyúl, Joachim Hornegger, Georg Michelson,” Glaucoma risk index: Automated glaucoma detection from color fundus images”.
  4. R. Bock et al. / Medical Image Analysis 14, pp.471–481, 2010.
  5. D. EvangelinHepsiba, Josephine PusphaArasi,” An Enhanced Automated Diagnosis Method for Glaucoma Detection Using Wavelet”, IOSR Journal of Electronics and Communication Engineering (IOSR_JECE), ISSN: 2278_8735.Volume 9, Issue 3, pp.20_22, May_ Jun 2014.
  6. L´aszl´, G. Ny´ul,” Retinal image analysis for automated glaucoma risk evaluation”, Proc. of SPIE, Vol.7497_74971, pp.1_9.
  7. Preeti, JyotikaPruthi,” Review of Image Processing Techniquefor Glaucoma Detection”, International Journal of Computer Science and Mobile Computing, ISSN 2320–088X,Vol. 2, Issue. 11, pp. 99 – 105, November 2013.
  8. K. Narasimhan, Vijayarekha, JogiNarayana, SivaPrasad and V. SatishKumar,” Glaucoma Detection from Fundus Image Using Opencv”, Research Journal of Applied Sciences, Engineering and Technology, ISSN: 2040_7467, Vol.4, No.24, pp.5459_5463, December 2012.
  9. HusandeepKaur, AmandeepKaur, ” Early Stage Glaucoma Detection in Diabetic Patients: A Review”, International Journal of Advanced Research in Computer Science and Software Engineering, ISSN: 2277 128X ,Volume 4, Issue 5,pp. 271_274 ,May 2014.
  10. Maryam Vatanparast, AhadHarati,”A Feasibilty Study on Detection of Neovascularization in Retinal Color images Using Texture”.
  11. Nesreen et.al Eran.A.Edirisinghe,”Quantification of Corneal Neovascularization via Contourlet Transform based Segmentation of Blood Vessels”, Ubiquitous Computing and Communication Journal, ISSN:1992_8424, Volume 7, pp. 1297_ 1308.
  12. Michael Feehan, John Hartman, Richard Durante1, Margaux A Morrison, Joan W Miller, Ivana K Kim and Margaret M DeAngelis,” Identifying subtypes of patients with neovascularage_related macular degeneration by genotypic and cardiovascular risk characteristics”, Feehan et al. BMC Medical Genetics,Vol.12,No.83,pp.1_8,2011.
  13. Krysten M Farjo, Jian_xing Ma,” The potential of nanomedicine therapies to treat neovascular disease in the retina”,Journal of angiogenesis research, Vol.2, No.21, pp.1_14.
  14. Chia_Ling,Yi_Lun, Chen,Kai_ShungLin,Chih_Hao Chan,,”Automatic Characterization of Classic Choroidal Neovascularization by Using AdaBoost for Supervised Learning”, IOVS, Vol. 52, No. 5,pp.2767_2773, April 2011.
  15. Muhammad WaseemKhan,”Diabetic Retinopathy Detection using Image Processing: A Survey”, International Journal Of Emerging Technology & Research,ISSN: 2347_6079, Volume 1, Issue 1,pp.16_20,Nov_Dec, 2013.
  16. Roxan and Ronald H Silverman,”Anterior_segment imaging for assessment of glaucoma”,Expert Rev. Ophthalmol,ISSN: 1746_9899,Vol.5,No.1, pp.59–74,2010.
  17. Jack Lee, Benny Chung Ying Zee, Qing Li, ” Detection of Neovascularization Based on Fractal and Texture Analysis with Interaction Effects in Diabetic Retinopathy”,www.plosone.org, Vol.8,Issue.12, e75699, pp.1_9, 1 December 2013.
  18. L. T. Col Avinash Mishra, SaurabLuthra, Col V.K. Baranwal, Brig J.K.S. Parihar, SM, VSM, ” An interesting case of rubeosisiridis with neovascular glaucoma in a young patient”, medical journal armed forces india 69, pp.187_189,2013.
  19. DharmannaLamani, Dr. T. C. Manjunath, Dr. U P Kulkarni,” Automated Detection of Neovascular Glaucoma through Fractal Dimension Method”, International Journal of Computer Science and Information Technologies (IJCSIT), ISSN:0975_9646,Vol. 5 (4),pp.5252_5257, 2014.
  20. S.MuthuLakshmi,”Supervised Blood Vessel Segmentation in Retinal Images Using Feature Based Classification”, International Journal of Advanced and Innovative Research, ISSN: 2278_7844 , Volume 1, Issue 1,pp.1_5, June 2012.

Keywords

Fractal Dimension, Blood Vessels, Box Counting