Prediction of White Matter Hyperintensity in Brain MRI Using Fundus Photographs via Deep Learning

Prediction of White Matter Hyperintensity in Brain MRI Using Fundus Photographs via Deep Learning

Purpose: We investigated whether a deep learning algorithm applied to retinal fundoscopic images could predict cerebral white matter hyperintensity (WMH), as represented by a modified Fazekas scale (FS), on brain magnetic resonance imaging (MRI). Methods: Participants who had undergone brain MRI and...

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Bibliographic Details
Main Authors: Bum-Joo Cho, Minwoo Lee, Jiyong Han, Soonil Kwon, Mi Sun Oh, Kyung-Ho Yu, Byung-Chul Lee, Ju Han Kim, Chulho Kim
Format: Article
Language:English
Published: MDPI AG 2022-06-01
Series:Journal of Clinical Medicine
Subjects:
cerebral small-vessel disease
fundus photograph
white matter hyperintensity
Fazekas scale
deep learning
Online Access:https://www.mdpi.com/2077-0383/11/12/3309

Internet

https://www.mdpi.com/2077-0383/11/12/3309

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