Recent developments in detection of central serous retinopathy through imaging and artificial intelligence techniques–a review

SA Hassan, S Akbar, A Rehman, T Saba… - IEEE …, 2021 - ieeexplore.ieee.org
… a method for fully automated Central Serous Retinopathy (CSR) detection … mated diagnosis
of macular edema and central serous retinopathy through robust reconstruction of 3D retinal

Fully automated identification and clinical classification of macular edema using optical coherence tomography images

J de Moura, G Samagaio, J Novo, MI Fernández… - … and Retinopathy, 2020 - Elsevier
Diabetic macular edema is a relevant ocular disease associated with diabetes mellitus that
constitutes a concerning global health issue. This disease is one of the main causes of …

Assessment of central serous chorioretinopathy depicted on color fundus photographs using deep learning

Y Zhen, H Chen, X Zhang, X Meng, J Zhang, J Pu - Retina, 2020 - journals.lww.com
… The assessment procedure was fully automated, and it took less than 3 … diagnosing retinal
disease based on fundus images, such as diabetic retinopathy and diabetic macula edema, 17…

Deep learning-based automatic detection of central serous retinopathy using optical coherence tomographic images

SAE Hassan, S Akbar, S Gull… - 2021 1st International …, 2021 - ieeexplore.ieee.org
… There exist some automated systems to detect retinal abnormalities, including [4], [5], [6], [7] …
a fully automated and reliable system for detecting Central Serous Retinopathy through OCT …

A review of methods for automatic detection of macular edema

A Ajaz, H Kumar, D Kumar - Biomedical Signal Processing and Control, 2021 - Elsevier
… , it does provide a brief on the topic of automated screening of macular edema. … used
reconstruction of 3D retinal surfaces for automatic diagnosis of ME and central serous retinopathy. …

Automated retinal edema detection from fundus and optical coherence tomography scans

B Hassan, R Ahmed, B Li, O Hassan… - … on Control, Automation …, 2019 - ieeexplore.ieee.org
… We used 2-Dimensional (2D) adaptive wiener filter which is basically a restoration fiter and
… Blood vessel segmentation in our proposed system in quite robust as it can easily extract …

Automated detection of macular Edema using machine learning algorithm

A Ariya, S Asha - AIP Conference Proceedings, 2020 - pubs.aip.org
macular diseases are Central Serous Retinopathy, Macularautomated detection of macular
edema and central serous … followed by automated reconstruction of 3-D retinal surfaces. The …

Optical coherence tomography-based deep-learning model for detecting central serous chorioretinopathy

J Yoon, J Han, JI Park, JS Hwang, JM Han, J Sohn… - Scientific reports, 2020 - nature.com
… Thus, automated deep learning system algorithms could play … To build a robust model
applicable to a variety of input … Transfer learning for diabetic macular edema (dme) detection on …

Computer aided diagnosis of diabetic macular edema in retinal fundus and OCT images: A review

KC Pavithra, P Kumar, M Geetha… - Biocybernetics and …, 2023 - Elsevier
… Such a system for the evaluation of retinal images can … automated DME detection methods
with traditional Machine Learning (ML) and Deep Learning (DL) techniques employing retinal

Predicting post-therapeutic visual acuity and OCT images in patients with central serous chorioretinopathy by artificial intelligence

F Xu, C Wan, L Zhao, S Liu, J Hong, Y Xiang… - Frontiers in …, 2021 - frontiersin.org
… This work establishes a reliable method of predicting … could potentially increase the robustness
of our predictions. … essential factors that influence VA restoration. As shown in our study, …