Accuracy of machine learning for differentiation between optic neuropathies and pseudopapilledema
Author:
Publisher
Springer Science and Business Media LLC
Subject
Ophthalmology,General Medicine
Link
http://link.springer.com/content/pdf/10.1186/s12886-019-1184-0.pdf
Reference22 articles.
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2. Aghsaei Fard M, Okhravi S, Moghimi S, Subramanian PS. Optic nerve head and macular optical coherence tomography measurements in papilledema compared with Pseudopapilledema. J Neuroophthalmol. 2018.
3. Thompson AC, Bhatti MT, El-Dairi MA. Bruch's membrane opening on optical coherence tomography in pediatric papilledema and pseudopapilledema. J AAPOS. 2018;22:38–43 e3.
4. Saenz R, Cheng H, Prager TC, Frishman LJ, Tang RA. Use of A-scan ultrasound and optical coherence tomography to differentiate papilledema from Pseudopapilledema. Optom Vis Sci. 2017;94:1081–9.
5. Gulshan V, Peng L, Coram M, et al. Development and validation of a deep learning algorithm for detection of diabetic retinopathy in retinal fundus photographs. JAMA. 2016;316:2402–10.
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