Convolution Neural Network Based Approach for Glaucoma Disease Detection

Author:

Mustapha SahraouiORCID,Mohammed SalemORCID,Oussama Smail

Publisher

Springer Nature Switzerland

Reference21 articles.

1. Hollows, F.C., Graham, P.A.: Intra-ocular pressure, glaucoma, and glaucoma suspects in a denned population. Br. J. Ophthalmol. 50(5954089), 570–586 (1966)

2. Rafæl, R.E.W., Gonzalez, C.: Digital Image Processing (2008)

3. Leibowitz, H.M., et al.: The Framingham eye study monograph: an ophthalmological and epidemiological study of cataract, glaucoma, diabetic retinopathy, macular degeneration, and visual acuity. J. Surv. Ophthalmol. 24, 335–610 (1980)

4. Spalton, D.J., Hitchings, R.A., Hunter, P.: Atlas of Clinical Ophthalmology with CD-ROM. Elsevier, Amsterdam (2013)

5. Zhang, F., et al.: An online retinal fundus image database for glaucoma analysis and research. In: Proc. Int. Conf. IEEE Eng. Med. Biol., pp. 3065–3068 (2010)

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