Cargando…
Diagnosing Diabetic Retinopathy in OCTA Images Based on Multilevel Information Fusion Using a Deep Learning Framework
OBJECTIVE: As an extension of optical coherence tomography (OCT), optical coherence tomographic angiography (OCTA) provides information on the blood flow status at the microlevel and is sensitive to changes in the fundus vessels. However, due to the distinct imaging mechanism of OCTA, existing model...
Autores principales: | Li, Qiaoyu, Zhu, Xiao-rong, Sun, Guangmin, Zhang, Lin, Zhu, Meilong, Tian, Tian, Guo, Chenyu, Mazhar, Sarah, Yang, Jin-Kui, Li, Yu |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9371870/ https://www.ncbi.nlm.nih.gov/pubmed/35966243 http://dx.doi.org/10.1155/2022/4316507 |
Ejemplares similares
-
Hybrid Fusion of High-Resolution and Ultra-Widefield OCTA Acquisitions for the Automatic Diagnosis of Diabetic Retinopathy
por: Li, Yihao, et al.
Publicado: (2023) -
Transfer Learning for Automated OCTA Detection of Diabetic Retinopathy
por: Le, David, et al.
Publicado: (2020) -
Analysis of retinal and choroidal characteristics in patients with early diabetic retinopathy using WSS-OCTA
por: Qi, Zhihao, et al.
Publicado: (2023) -
Wide-field swept-source OCTA in the assessment of retinal microvasculature in early-stage diabetic retinopathy
por: Wang, Xiang-ning, et al.
Publicado: (2022) -
Comparison of Different Metrics for the Identification of Vascular Changes in Diabetic Retinopathy Using OCTA
por: Mendes, Luis, et al.
Publicado: (2021)