Cargando…
Detection of Stroke with Retinal Microvascular Density and Self-Supervised Learning Using OCT-A and Fundus Imaging
Acute cerebral stroke is a leading cause of disability and death, which could be reduced with a prompt diagnosis during patient transportation to the hospital. A portable retina imaging system could enable this by measuring vascular information and blood perfusion in the retina and, due to the homol...
Autores principales: | Pachade, Samiksha, Coronado, Ivan, Abdelkhaleq, Rania, Yan, Juntao, Salazar-Marioni, Sergio, Jagolino, Amanda, Green, Charles, Bahrainian, Mozhdeh, Channa, Roomasa, Sheth, Sunil A., Giancardo, Luca |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9788382/ https://www.ncbi.nlm.nih.gov/pubmed/36556024 http://dx.doi.org/10.3390/jcm11247408 |
Ejemplares similares
-
Synthetic OCT-A blood vessel maps using fundus images and generative adversarial networks
por: Coronado, Ivan, et al.
Publicado: (2023) -
Author Correction: Synthetic OCT-A blood vessel maps using fundus images and generative adversarial networks
por: Coronado, Ivan, et al.
Publicado: (2023) -
Segmentation of acute stroke infarct core using image-level labels on CT-angiography
por: Giancardo, Luca, et al.
Publicado: (2023) -
Predicting In-hospital Mortality Using D-Dimer in COVID-19 Patients With Acute Ischemic Stroke
por: Kim, Youngran, et al.
Publicado: (2021) -
Total retinal thickness: a neglected factor in the evaluation of inner retinal thickness
por: Banghart, Mark, et al.
Publicado: (2022)