Machine learning predicting myopic regression after corneal refractive surgery using preoperative data and fundus photography
Author:
Publisher
Springer Science and Business Media LLC
Subject
Cellular and Molecular Neuroscience,Sensory Systems,Ophthalmology
Link
https://link.springer.com/content/pdf/10.1007/s00417-022-05738-y.pdf
Reference30 articles.
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2. Kim JH, Sah WJ, Park CK et al (1996) Myopic regression after photorefractive keratectomy. Ophthalmic Surg Lasers 27:S435-439
3. Chen Y-I, Chien K-L, Wang I-J et al (2007) An interval-censored model for predicting myopic regression after laser in situ keratomileusis. Invest Ophthalmol Vis Sci 48:3516–3523. https://doi.org/10.1167/iovs.06-1044
4. Hwang HS, Lee HJ, Lee SJ, Kim J-H (2020) Visual outcomes after three different surgical procedures for correction of refractive error in patients with thin corneas. Int J Ophthalmol 13:970–977. https://doi.org/10.18240/ijo.2020.06.18
5. Zheng Y-F, Pan C-W, Chay J et al (2013) The economic cost of myopia in adults aged over 40 years in Singapore. Invest Ophthalmol Vis Sci 54:7532–7537. https://doi.org/10.1167/iovs.13-12795
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