Non-invasive and accurate risk evaluation of cerebrovascular disease using retinal fundus photo based on deep learning.
Frontiers in neurology(2023)
摘要
This paper provides compelling evidence that Efficient-Attention methods can serve as effective and accurate tool for cerebrovascular risk. The results of the study strongly support the notion that retinal fundus photo holds great potential as a reliable predictor of CeVD, which offers a noninvasive, convenient and low-cost solution for large scale screening of CeVD.
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关键词
deep learning,cerebrovascular disease,stroke,artificial intelligence,attention
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