Cargando…
Detection of Diabetic Retinopathy Using Extracted 3D Features from OCT Images
Diabetic retinopathy (DR) is a major health problem that can lead to vision loss if not treated early. In this study, a three-step system for DR detection utilizing optical coherence tomography (OCT) is presented. First, the proposed system segments the retinal layers from the input OCT images. Seco...
Autores principales: | Elgafi, Mahmoud, Sharafeldeen, Ahmed, Elnakib, Ahmed, Elgarayhi, Ahmed, Alghamdi, Norah S., Sallah, Mohammed, El-Baz, Ayman |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9610651/ https://www.ncbi.nlm.nih.gov/pubmed/36298186 http://dx.doi.org/10.3390/s22207833 |
Ejemplares similares
-
The Role of Different Retinal Imaging Modalities in Predicting Progression of Diabetic Retinopathy: A Survey
por: Elsharkawy, Mohamed, et al.
Publicado: (2022) -
A Novel Computer-Aided Diagnostic System for Early Detection of Diabetic Retinopathy Using 3D-OCT Higher-Order Spatial Appearance Model
por: Elsharkawy, Mohamed, et al.
Publicado: (2022) -
Precise Segmentation of COVID-19 Infected Lung from CT Images Based on Adaptive First-Order Appearance Model with Morphological/Anatomical Constraints
por: Sharafeldeen, Ahmed, et al.
Publicado: (2021) -
An Automated CAD System for Accurate Grading of Uveitis Using Optical Coherence Tomography Images
por: Haggag, Sayed, et al.
Publicado: (2021) -
Precise higher-order reflectivity and morphology models for early diagnosis of diabetic retinopathy using OCT images
por: Sharafeldeen, A., et al.
Publicado: (2021)