Performance analysis of deep neural networks through transfer learning in retinal detachment diagnosis using fundus images
Author:
Funder
Science and Engineering Research Board
Publisher
Springer Science and Business Media LLC
Subject
Multidisciplinary
Link
https://link.springer.com/content/pdf/10.1007/s12046-022-01822-5.pdf
Reference42 articles.
1. Wei W 2019 Atlas of Retinal Detachment: Diagnosis and Differential Diagnosis. Springer
2. Miki D, Hida T, Hotta K, Shinoda K and Hirakata A 2001 Comparison of scleral buckling and vitrectomy for retinal detachment resulting from flap tears in superior quadrants. Jpn. J. Ophthalmol. 45(2): 187–191
3. Heussen N, Feltgen N, Walter P, Hoerauf H, Hilgers R D and Heimann H 2011 Scleral buckling versus primary vitrectomy in rhegmatogenous retinal detachment study (SPR Study): predictive factors for functional outcome. Study report no. 6. Graefe’s Arch. Clin. Exp. Ophthalmol. 249(8): 1129–1136
4. Rowe J A, Erie J C, Baratz K H, Hodge D O, Gray D T, Butterfield L and Robertson D M 1999 Retinal detachment in Olmsted county, Minnesota, 1976 through 1995. Ophthalmology 106(1): 154–159
5. Mitry D, Charteris D G, Yorston D, Siddiqui M R, Campbell H, Murphy A L, Fleck B W, Wright A F, Singh J and Scottish RD Study Group 2010 The epidemiology and socioeconomic associations of retinal detachment in Scotland: a two-year prospective population-based study. Investig. Ophthalmol. Vis. Sci. 51(10): 4963–4968
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