Deep learning in retinal optical coherence tomography (OCT): A comprehensive survey
Retinal optical coherence tomography (OCT) images provide fundamental information
regarding the health of the posterior eye (eg, the retina and choroid). Thus, the development …
regarding the health of the posterior eye (eg, the retina and choroid). Thus, the development …
Recent developments in detection of central serous retinopathy through imaging and artificial intelligence techniques–a review
Central Serous Retinopathy (CSR) or Central Serous Chorioretinopathy (CSC) is a
significant disease that causes blindness and vision loss among millions of people …
significant disease that causes blindness and vision loss among millions of people …
Adaptive image enhancement method for correcting low-illumination images
W Wang, Z Chen, X Yuan, X Wu - Information Sciences, 2019 - Elsevier
In this study, to improve the adaptability of image enhancement in images with low
illumination, a colored image correction method based on nonlinear functional …
illumination, a colored image correction method based on nonlinear functional …
Intra-and inter-slice contrastive learning for point supervised oct fluid segmentation
OCT fluid segmentation is a crucial task for diagnosis and therapy in ophthalmology. The
current convolutional neural networks (CNNs) supervised by pixel-wise annotated masks …
current convolutional neural networks (CNNs) supervised by pixel-wise annotated masks …
Fully automated segmentation of fluid/cyst regions in optical coherence tomography images with diabetic macular edema using neutrosophic sets and graph …
A Rashno, DD Koozekanani, PM Drayna… - IEEE Transactions …, 2017 - ieeexplore.ieee.org
This paper presents a fully automated algorithm to segment fluid-associated (fluid-filled) and
cyst regions in optical coherence tomography (OCT) retina images of subjects with diabetic …
cyst regions in optical coherence tomography (OCT) retina images of subjects with diabetic …
Multi-scale pathological fluid segmentation in OCT with a novel curvature loss in convolutional neural network
G Xing, L Chen, H Wang, J Zhang… - … on Medical Imaging, 2022 - ieeexplore.ieee.org
The segmentation of pathological fluid lesions in optical coherence tomography (OCT),
including intraretinal fluid, subretinal fluid, and pigment epithelial detachment, is of great …
including intraretinal fluid, subretinal fluid, and pigment epithelial detachment, is of great …
Probabilistic diffusion for interactive image segmentation
This paper presents an interactive image segmentation approach in which we formulate
segmentation as a probabilistic estimation problem based on the prior user intention …
segmentation as a probabilistic estimation problem based on the prior user intention …
Double-branched and area-constraint fully convolutional networks for automated serous retinal detachment segmentation in SD-OCT images
Background and objective Quantitative assessment of subretinal fluid in spectral domain
optical coherence tomography (SD-OCT) images is crucial for the diagnosis of central …
optical coherence tomography (SD-OCT) images is crucial for the diagnosis of central …
Intraretinal fluid identification via enhanced maps using optical coherence tomography images
Nowadays, among the main causes of blindness in developed countries are age-related
macular degeneration (AMD) and the diabetic macular edema (DME). Both diseases …
macular degeneration (AMD) and the diabetic macular edema (DME). Both diseases …
Automatic subretinal fluid segmentation of retinal SD-OCT images with neurosensory retinal detachment guided by enface fundus imaging
M Wu, Q Chen, XJ He, P Li, W Fan… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
Objective: Accurate segmentation of neurosensory retinal detachment (NRD) associated
subretinal fluid in spectral domain optical coherence tomography (SD-OCT) is vital for the …
subretinal fluid in spectral domain optical coherence tomography (SD-OCT) is vital for the …