Deep multiple instance learning for automatic glaucoma prevention and auto-annotation using color fundus photography
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence
Link
https://link.springer.com/content/pdf/10.1007/s13748-022-00292-4.pdf
Reference55 articles.
1. Weinreb, R.N., Aung, T., Medeiros, F.A.: The pathophysiology and treatment of glaucoma: a review. JAMA 311(18), 1901–1911 (2014)
2. Tham, Y.-C., Li, X., Wong, T.Y., Quigley, H.A., Aung, T., Cheng, C.-Y.: Global prevalence of glaucoma and projections of glaucoma burden through 2040: a systematic review and meta-analysis. Ophthalmology 121(11), 2081–2090 (2014)
3. Quigley, H.A., Broman, A.T.: the number of people with glaucoma worldwide in 2010 and 2020. Br. J. Ophthalmol. 90(3), 262–267 (2006)
4. Baudouin, C., Kolko, M., Melik-Parsadaniantz, S., Messmer, E.M.: Inflammation in glaucoma: from the back to the front of the eye, and beyond. Prog. Retin. Eye Res. 83, 100916 (2021)
5. Pesapane, F., Codari, M., Sardanelli, F.: Artificial intelligence in medical imaging: threat or opportunity? Radiologists again at the forefront of innovation in medicine. Eur. Radiol. Exp. 2(1), 1–10 (2018)
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