Proposing an ensemble learning model based on neural network and fuzzy system for keratoconus diagnosis based on Pentacam measurements
Author:
Publisher
Springer Science and Business Media LLC
Subject
Ophthalmology
Link
https://link.springer.com/content/pdf/10.1007/s10792-021-01963-2.pdf
Reference43 articles.
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3. Valdes MA, Martin JD et al (2014) Machine learning for predicting astigmatism in patients with keratoconus after intracorneal ring implantation. IEEE-EMBS International conference on biomedical and health informatics, pp 756–759.
4. Zadnik K, Barr JT, Gordon MO, Edrington TB (1996) Biomicroscopic signs and disease severity in keratoconus. Cornea 15(2):139–146
5. Gomes JA, Tan D, Rapuano CJ et al (2015) Global consensus on keratoconus and ectatic diseases. Cornea 34(4):359–369
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