Automated glaucoma diagnosis using bit-plane slicing and local binary pattern techniques.

Journal: Computers in biology and medicine
Published Date: Dec 5, 2018

Abstract

BACKGROUND AND OBJECTIVE: Glaucoma is a ocular disorder which causes irreversible damage to the retinal nerve fibers. The diagnosis of glaucoma is important as it may help to slow down the progression. The available clinical methods and imaging techniques are manual and require skilled supervision. For the purpose of mass screening, an automated system is needed for glaucoma diagnosis which is fast, accurate, and helps in reducing the burden on experts.

Authors

  • Shishir Maheshwari
    Discipline of Electrical Engineering, Indian Institute of Technology Indore, Indore, 453552, India. Electronic address: phd1501102003@iiti.ac.in.
  • Vivek Kanhangad
    Discipline of Electrical Engineering, Indian Institute of Technology Indore, Indore, 453552, India.
  • Ram Bilas Pachori
    Discipline of Electrical Engineering, Indian Institute of Technology Indore, Indore, 453552, India.
  • Sulatha V Bhandary
    Department of Ophthalmology, Kasturba Medical College, Manipal 576104, India.
  • U Rajendra Acharya
    School of Business (Information Systems), Faculty of Business, Education, Law & Arts, University of Southern Queensland, Darling Heights, Australia.

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