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Prediction of corneal back surface power – Deep learning algorithm versus multivariate regression
Ophthalmic and Physiological Optics ( IF 2.8 ) Pub Date : 2021-11-02 , DOI: 10.1111/opo.12909
Achim Langenbucher 1 , Nóra Szentmáry 2, 3 , Alan Cayless 4 , Johannes Weisensee 1 , Jascha Wendelstein 5 , Peter Hoffmann 6
Affiliation  

The corneal back surface is known to add some against the rule astigmatism, with implications in cataract surgery with toric lens implantation. This study aimed to set up and validate a deep learning algorithm to predict corneal back surface power from the corneal front surface power and biometric measures.

中文翻译:

角膜后表面光焦度的预测——深度学习算法与多元回归

众所周知,角膜背面会增加一些违反规则的散光,这对植入环曲面晶状体的白内障手术有影响。本研究旨在建立和验证一种深度学习算法,以根据角膜前表面功率和生物特征测量预测角膜后表面功率。
更新日期:2021-12-06
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