Precise higher-order reflectivity and morphology models for early diagnosis of diabetic retinopathy using OCT images
Abstract This study proposes a novel computer assisted diagnostic (CAD) system for early diagnosis of diabetic retinopathy (DR) using optical coherence tomography (OCT) B-scans. The CAD system is based on fusing novel OCT markers that describe both the morphology/anatomy and the reflectivity of reti...
Enregistré dans:
Auteurs principaux: | A. Sharafeldeen, M. Elsharkawy, F. Khalifa, A. Soliman, M. Ghazal, M. AlHalabi, M. Yaghi, M. Alrahmawy, S. Elmougy, H. S. Sandhu, A. El-Baz |
---|---|
Format: | article |
Langue: | EN |
Publié: |
Nature Portfolio
2021
|
Sujets: | |
Accès en ligne: | https://doaj.org/article/88e488fc0d1048ff9debd03f81b9764e |
Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
-
Structure–Function Correlation Using OCT Angiography And Microperimetry In Diabetic Retinopathy
par: Alonso-Plasencia M, et autres
Publié: (2019) -
Federated Learning for Microvasculature Segmentation and Diabetic Retinopathy Classification of OCT Data
par: Julian Lo, MASc, et autres
Publié: (2021) -
Circular functional analysis of OCT data for precise identification of structural phenotypes in the eye
par: Md. Hasnat Ali, et autres
Publié: (2021) -
Color Coded Cards for Student Behavior Management in Higher Education Environments
par: Wadee S. Alhalabi, et autres
Publié: (2017) -
Early assessment of lung function in coronavirus patients using invariant markers from chest X-rays images
par: Mohamed Elsharkawy, et autres
Publié: (2021)