Open Access Journal

ISSN : 2394-2320 (Online)

International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Monthly Journal for Computer Science and Engineering

Open Access Journal

International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Monthly Journal for Computer Science and Engineering

ISSN : 2394-2320 (Online)

Reference :

    1. Shilpa Joshi and Dr P.T. Karule. “Retinal Blood Vessel Segmentation”, International Journal of Engineering and Innovative Technology (IJEIT), Volume 1, Issue 3, March 2012.
    2. Kittipol Wisaeng, Nualsawat Hiransakolwong and EkkaratPothiruk. “Automatic Detection of Exudates in Diabetic Retinopathy Images”, Journal of Computer Science 8 (8): 1304-1313, 2012 ISSN 1549-3636, Science Publications © 2012
    3. M. Niemeijer, J. Staal, B. v. Ginneken, M. Loog, and M. D. Abramoff, J. Fitzpatrick and M. Sonka, Eds., “Comparative study of Retinal Vessel Segmentation methods on a new publicly available database,” in SPIE Med. Imag., vol. 5370, pp. 648–656, 2004.
    4. Priya.R, Aruna.P, “Diagnosis of Diabetic Retinopathy using Machine Learning Techniques”, ICTACT JOURNAL ON SOFT COMPUTING, Volume: 03, Issue: 04, July 2013.
    5. Madhura Jagannath Paranjpe, Prof. M N Kakatkar, “Automated Diabetic Retinopathy Severity Classification using Support Vector Machine”, International Journal for Research in Science & Advanced Technologies, Volume-3, Issue-3, 086-091, ISSN 2319-2690, May-June 2013.
    6. Oliver Faust & Rajendra Acharya U. & E. Y. K. Ng & Kwan-Hoong Ng & Jasjit S. Suri, “Algorithms for the Automated Detection of Diabetic Retinopathy Using Digital Fundus Images: A Review”, Springer Science+Business Media, J Med Syst, 6 April 2010.
    7. M. Ponni Bala, S. Vijayachitra, “Computerised Retinal Image Analysis to Detect and Quantify Exudates Associated with Diabetic Retinopathy”, International Journal of Computer Applications (0975 – 8887), Volume 54– No.2, September 2012.
    8. Archana .G, et.al., “Abnormality Detection and Its Severity Classification in Retinal Images”, International Journal of Research in Engineering & Advanced Technology (IJREAT), Volume 1, Issue 1, ISSN: 2320 – 8791, March, 2013.

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