Prediction of White Matter Hyperintensity in Brain MRI Using Fundus Photographs via Deep Learning.
Bum-Joo ChoMinwoo LeeJiyong HanSoonil KwonMi Sun OhKyung-Ho YuByung-Chul LeeJu Han KimChul-Ho KimPublished in: Journal of clinical medicine (2022)
Cerebral WMH might be partially predicted by non-invasive fundus photography via deep learning, which may suggest an eye-brain association.
Keyphrases
- white matter
- deep learning
- multiple sclerosis
- diabetic retinopathy
- resting state
- artificial intelligence
- cerebral ischemia
- convolutional neural network
- magnetic resonance imaging
- machine learning
- subarachnoid hemorrhage
- contrast enhanced
- functional connectivity
- computed tomography
- brain injury
- magnetic resonance
- diffusion weighted imaging
- optical coherence tomography