Detection of glaucoma using retinal fundus images: A comprehensive review-Reference-Cited by-同舟云学术

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Detection of glaucoma using retinal fundus images: A comprehensive review

Published:2021 Issue:3 Volume:18 Page:2033-2076
ISSN:1551-0018
Container-title:Mathematical Biosciences and Engineering
language:
Short-container-title:MBE

Author:

Shabbir Amsa, ,Rasheed Aqsa,Shehraz Huma,Saleem Aliya,Zafar Bushra,Sajid Muhammad,Ali Nouman,Dar Saadat Hanif,Shehryar Tehmina, ,

Publisher

American Institute of Mathematical Sciences (AIMS)

Subject

Applied Mathematics,Computational Mathematics,General Agricultural and Biological Sciences,Modeling and Simulation,General Medicine

Reference169 articles.

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2. B. Gupta, M. Tiwari, S. S. Lamba, Visibility improvement and mass segmentation of mammogram images using quantile separated histogram equalisation with local contrast enhancement, CAAI Trans. Intell. Technol., 4 (2019), 73–79.

3. S. Maheshwari, V. Kanhangad, R. B. Pachori, S. V. Bhandary, U. R. Acharya, Automated glaucoma diagnosis using bit-plane slicing and local binary pattern techniques, Comput. Biol. Med., 105 (2019), 72–80.

4. S. Masood, M. Sharif, M. Raza, M. Yasmin, M. Iqbal, M. Younus Javed, Glaucoma disease: A survey, Curr. Med. Imaging, 11 (2015), 272–283.

5. U. R. Acharya, S. Bhat, J. E. Koh, S. V. Bhandary, H. Adeli, A novel algorithm to detect glaucoma risk using texton and local configuration pattern features extracted from fundus images, Comput. Biol. Med., 88 (2017), 72–83.

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