Automated detection of Glaucoma using deep learning convolution network (G-net)

Author:

Juneja Mamta,Singh Shaswat,Agarwal Naman,Bali Shivank,Gupta Shubham,Thakur Niharika,Jindal Prashant

Funder

Ministry of Human Resource Development

Commonwealth Scholarship Commission

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Hardware and Architecture,Media Technology,Software

Reference41 articles.

1. Abdullah M, Fraz MM, Barman SA (2016) Localization and segmentation of optic disc in retinal images using circular Hough transform and grow-cut algorithm. PeerJ. 4:e2003

2. Algazi VR, Keltner JL, Johnson CA (1985) Computer analysis of the optic cup in glaucoma. Invest Ophthalmol Vis Sci 26(12):1759–1770

3. Almazroa A, Alodhayb S, Raahemifar K, Lakshminarayanan V (2017) Optic cup segmentation: type-II fuzzy thresholding approach and blood vessel extraction. Clinical ophthalmology (Auckland, NZ) 11:841

4. Arnay R, Fumero F, Sigut J (2017) Ant colony optimization-based method for optic cup segmentation in retinal images. Appl Soft Comput 52:409–417

5. Bach M (2001) Electrophysiological approaches for early detection of glaucoma. Eur J Ophthalmol 11(2_suppl):41–49

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