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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Detalles Bibliográficos
Autores principales: Cho, Bum-Joo, Lee, Minwoo, Han, Jiyong, Kwon, Soonil, Oh, Mi Sun, Yu, Kyung-Ho, Lee, Byung-Chul, Kim, Ju Han, Kim, Chulho
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9224833/
https://www.ncbi.nlm.nih.gov/pubmed/35743380
http://dx.doi.org/10.3390/jcm11123309

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9224833/
https://www.ncbi.nlm.nih.gov/pubmed/35743380
http://dx.doi.org/10.3390/jcm11123309

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