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 …
Automated detection of exudative age-related macular degeneration in spectral domain optical coherence tomography using deep learning
M Treder, JL Lauermann, N Eter - Graefe's Archive for Clinical and …, 2018 - Springer
Purpose Our purpose was to use deep learning for the automated detection of age-related
macular degeneration (AMD) in spectral domain optical coherence tomography (SD-OCT) …
macular degeneration (AMD) in spectral domain optical coherence tomography (SD-OCT) …
[HTML][HTML] Detection of morphologic patterns of diabetic macular edema using a deep learning approach based on optical coherence tomography images
Purpose: To develop a deep learning (DL) model to detect morphologic patterns of diabetic
macular edema (DME) based on optical coherence tomography (OCT) images. Methods: In …
macular edema (DME) based on optical coherence tomography (OCT) images. Methods: In …
RAG-FW: A hybrid convolutional framework for the automated extraction of retinal lesions and lesion-influenced grading of human retinal pathology
The identification of retinal lesions plays a vital role in accurately classifying and grading
retinopathy. Many researchers have presented studies on optical coherence tomography …
retinopathy. Many researchers have presented studies on optical coherence tomography …
Stratified sampling voxel classification for segmentation of intraretinal and subretinal fluid in longitudinal clinical OCT data
Automated three-dimensional retinal fluid (named symptomatic exudate-associated
derangements, SEAD) segmentation in 3D OCT volumes is of high interest in the improved …
derangements, SEAD) segmentation in 3D OCT volumes is of high interest in the improved …
Joint retinal layer and fluid segmentation in OCT scans of eyes with severe macular edema using unsupervised representation and auto-context
A Montuoro, SM Waldstein, BS Gerendas… - Biomedical optics …, 2017 - opg.optica.org
Modern optical coherence tomography (OCT) devices used in ophthalmology acquire
steadily increasing amounts of imaging data. Thus, reliable automated quantitative analysis …
steadily increasing amounts of imaging data. Thus, reliable automated quantitative analysis …
Optical coherence tomography image classification using hybrid deep learning and ant colony optimization
Optical coherence tomography (OCT) is widely used to detect and classify retinal diseases.
However, OCT-image-based manual detection by ophthalmologists is prone to errors and …
However, OCT-image-based manual detection by ophthalmologists is prone to errors and …
Multimodal retinal image analysis via deep learning for the diagnosis of intermediate dry age‐related macular degeneration: a feasibility study
Background and Objective. To determine if using a multi‐input deep learning approach in
the image analysis of optical coherence tomography (OCT), OCT angiography (OCT‐A), and …
the image analysis of optical coherence tomography (OCT), OCT angiography (OCT‐A), and …
Fluid as a critical biomarker in neovascular age-related macular degeneration management: literature review and consensus recommendations
Current guidelines on the management of patients with neovascular age-related macular
degeneration (nAMD) lack clear recommendations on the interpretation of fluid as seen on …
degeneration (nAMD) lack clear recommendations on the interpretation of fluid as seen on …
[HTML][HTML] Prospective, longitudinal study: daily self-imaging with home OCT for neovascular age-related macular degeneration
Y Liu, NM Holekamp, JS Heier - Ophthalmology Retina, 2022 - Elsevier
Objective To validate the performance of the Notal Vision Home OCT (NVHO) system for
daily self-imaging at home and characterize the retinal fluid dynamics of patients with …
daily self-imaging at home and characterize the retinal fluid dynamics of patients with …