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Applications of interpretability in deep learning models for ophthalmology.
Current Opinion in Ophthalmology ( IF 3.7 ) Pub Date : 2021-07-06 , DOI: 10.1097/icu.0000000000000780
Adam M Hanif 1 , Sara Beqiri 2 , Pearse A Keane 3, 4 , J Peter Campbell 1
Affiliation  

In this article, we introduce the concept of model interpretability, review its applications in deep learning models for clinical ophthalmology, and discuss its role in the integration of artificial intelligence in healthcare.

中文翻译:

可解释性在眼科深度学习模型中的应用。

在本文中,我们介绍了模型可解释性的概念,回顾了其在临床眼科深度学习模型中的应用,并讨论了其在人工智能与医疗保健集成中的作用。
更新日期:2021-07-09
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