An efficient framework for optic disk segmentation and classification of Glaucoma on fundus images

Author:

Sanghavi JignyasaORCID,Kurhekar Manish

Publisher

Elsevier BV

Subject

Health Informatics,Signal Processing,Biomedical Engineering

Reference64 articles.

1. D. A. Rastogi, “World Glaucoma Week 2022,” 13 March 2022. [Online]. Available: https://www.nhp.gov.in › world-glaucoma-week-2022_pg. [Accessed 30 June 2022].

2. “Artificial intelligence and deep learning in glaucoma: Current state and future prospects”;Michaël;in Progress in Brain Research Sci. Direct.,2020

3. “Automated diagnosis of glaucoma using empirical wavelet transform and correntropy features extracted from fundus images”;Maheshwari;IEEE J. Biomed. Health Inform.,2017

4. “Iterative variational mode decomposition based automated detection of glaucoma using fundus images”;Maheshwari;Comput. Biol. Med.,2017

5. “Automatic diagnosis of type of glaucoma using order-One 2D-FBSE-EWT,” in 24th International Conference on Digital Signal Processing and its Applications (DSPA);Chaudhary,2022

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