DC-Gnet for detection of glaucoma in retinal fundus imaging

Author:

Juneja Mamta,Thakur Sarthak,Wani Anuj,Uniyal Archit,Thakur Niharika,Jindal Prashant

Funder

Ministry of Human Resource Development

Publisher

Springer Science and Business Media LLC

Subject

Computer Science Applications,Computer Vision and Pattern Recognition,Hardware and Architecture,Software

Reference40 articles.

1. Foster, P.J., Buhrmann, R., Quigley, H.A., Johnson, G.J.: The definition and classification of glaucoma in prevalence surveys. Br. J. Ophthalmol. 86, 238–242 (2002)

2. Saxena, R., Singh, D., Vashist, P.: Glaucoma: an emerging peril. Indian J. Community Med. 38, 135–137 (2013)

3. Glaucoma Research foundation: Five Common Glaucoma Tests. https://www.glaucoma.org/glaucoma/diagnostic-tests.php. (Available 4 April 2019). (Accessed 10 May 2019)

4. Yamada, S., Komatsu, K., Ema, T., Inventors; Toshiba Corp, Assignee: Computer-aided diagnosis system for medical use. United States Patent US 5,235,510 (1993)

5. Abràmoff, M.D., Garvin, M.K., Sonka, M.: Retinal imaging and image analysis. IEEE Rev. Biomed. Eng. 3, 169–208 (2010)

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