Multimodal retinal imaging to detect and understand Alzheimer’s and Parkinson’s disease
Sign Up to like & getrecommendations! Published in 2021 at "Current Opinion in Neurobiology"
DOI: 10.1016/j.conb.2021.07.007
Abstract: Retinal neurodegeneration and visual dysfunctions have been reported in a majority of Alzheimer's and Parkinson's patients, and, in light of the quest for novel biomarkers for these neurodegenerative proteinopathies, the retina has been receiving increasing… read more here.
Keywords: alzheimer parkinson; multimodal retinal; parkinson; parkinson disease ... See more keywords
Multimodal retinal imaging in MFSD8-neuronal ceroid lipofuscinosis
Sign Up to like & getrecommendations! Published in 2020 at "Ophthalmic Genetics"
DOI: 10.1080/13816810.2019.1709125
Abstract: We read with interest the recent article by Zare-Abdollahi et al where it was suggested that two recessive missense variants in MSFD8 (c.1235C>T; p.P412L and c.1361T>C; p. M454T), which each have been associated previously with… read more here.
Keywords: neuronal ceroid; retinal imaging; disease; multimodal retinal ... See more keywords
Multimodal Retinal Image Analysis via Deep Learning for the Diagnosis of Intermediate Dry Age-Related Macular Degeneration: A Feasibility Study
Sign Up to like & getrecommendations! Published in 2020 at "Journal of Ophthalmology"
DOI: 10.1155/2020/7493419
Abstract: Results The CNN trained using OCT alone showed a diagnostic accuracy of 94%, whilst the OCT-A trained CNN resulted in an accuracy of 91%. When multiple modalities were combined, the CNN accuracy increased to 96%… read more here.
Keywords: multimodal retinal; image analysis; accuracy; deep learning ... See more keywords