Cargando…
A Convolutional Neural Network Using Multimodal Retinal Imaging for Differentiation of Mild Cognitive Impairment from Normal Cognition
PURPOSE: To develop a machine learning tool capable of differentiating eyes of subjects with normal cognition from those with mild cognitive impairment (MCI) using OCT and OCT angiography (OCTA). DESIGN: Evaluation of a diagnostic technology. PARTICIPANTS: Subjects with normal cognition were compare...
Autores principales: | Wisely, C. Ellis, Richardson, Alexander, Henao, Ricardo, Robbins, Cason B., Ma, Justin P., Wang, Dong, Johnson, Kim G., Liu, Andy J., Grewal, Dilraj S., Fekrat, Sharon |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10591009/ https://www.ncbi.nlm.nih.gov/pubmed/37877003 http://dx.doi.org/10.1016/j.xops.2023.100355 |
Ejemplares similares
-
Convolutional Neural Network–Based Automated Quality Assessment of OCT and OCT Angiography Image Maps in Individuals With Neurodegenerative Disease
por: Lee, Terry, et al.
Publicado: (2023) -
Retinal Vascular Changes in Alzheimer's Dementia and Mild Cognitive Impairment: A Pilot Study Using Ultra-Widefield Imaging
por: Pead, Emma, et al.
Publicado: (2023) -
Role of aflibercept for macular edema following branch retinal vein occlusion: comparison of clinical trials
por: Oellers, Patrick, et al.
Publicado: (2016) -
Retinal and Choroidal Changes in Men Compared with Women with Alzheimer’s Disease: A Case-Control Study
por: Mirzania, Delaram, et al.
Publicado: (2021) -
Repeatability of Peripapillary OCT Angiography in Neurodegenerative Disease
por: Ma, Justin P., et al.
Publicado: (2021)