Comparison of clinicians and an artificial neural network regarding accuracy and certainty in performance of visual field assessment for the diagnosis of glaucoma
Author:
Publisher
Wiley
Subject
Ophthalmology,General Medicine
Link
http://onlinelibrary.wiley.com/wol1/doi/10.1111/j.1755-3768.2012.02435.x/fullpdf
Reference20 articles.
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2. Inter-subject variability and normal limits of the SITA Standard, SITA Fast, and the Humphrey Full Threshold computerized perimetry strategies, SITA STATPAC;Bengtsson;Acta Ophthalmol Scand,1999
3. False-negative responses in glaucoma perimetry: indicators of patient performance or test reliability?;Bengtsson;Invest Ophthalmol Vis Sci,2000
4. Effects of input data on the performance of a neural network in distinguishing normal and glaucomatous visual fields;Bengtsson;Invest Ophthalmol Vis Sci,2005
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