Automatic detection of diabetic retinopathy using an artificial neural network: a screening tool.

Author:

Gardner G G,Keating D,Williamson T H,Elliott A T

Publisher

BMJ

Subject

Cellular and Molecular Neuroscience,Sensory Systems,Ophthalmology

Reference24 articles.

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2. Cost effectiveness of current approaches to the control of retinopathy in type I diabetics;A, Javitt J.C.Canner J.K.Sommer;Ophthalmology,1989

3. Retinopathy Working Party. A protocol for screening for diabetic retinopathy in Europe;Diabetic Med,1991

4. Assessment of non-mydriatic photography in detection of diabetic retinopathy;Williams, R.; Nussey, S.; Humphrey, R.; Thomson, G.;BMJ,1986

5. Possible new method to improve detection of diabetic retinopathy: Polaroid non-mydriatic photography;Ryder, R.E.; Vora, J.P.; Atiea, J.A.; Owens, D.R.; Hates, T.M.; Young, S.;BMJ,1985

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