[HTML][HTML] AI-based monitoring of retinal fluid in disease activity and under therapy
U Schmidt-Erfurth, GS Reiter, S Riedl… - Progress in retinal and …, 2022 - Elsevier
Retinal fluid as the major biomarker in exudative macular disease is accurately visualized by
high-resolution three-dimensional optical coherence tomography (OCT), which is used …
high-resolution three-dimensional optical coherence tomography (OCT), which is used …
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 …
[HTML][HTML] Fully automated detection and quantification of macular fluid in OCT using deep learning
Purpose Development and validation of a fully automated method to detect and quantify
macular fluid in conventional OCT images. Design Development of a diagnostic modality …
macular fluid in conventional OCT images. Design Development of a diagnostic modality …
Automatic segmentation of nine retinal layer boundaries in OCT images of non-exudative AMD patients using deep learning and graph search
We present a novel framework combining convolutional neural networks (CNN) and graph
search methods (termed as CNN-GS) for the automatic segmentation of nine layer …
search methods (termed as CNN-GS) for the automatic segmentation of nine layer …
Deep-learning based, automated segmentation of macular edema in optical coherence tomography
Evaluation of clinical images is essential for diagnosis in many specialties. Therefore the
development of computer vision algorithms to help analyze biomedical images will be …
development of computer vision algorithms to help analyze biomedical images will be …
RETOUCH: The retinal OCT fluid detection and segmentation benchmark and challenge
H Bogunović, F Venhuizen, S Klimscha… - IEEE transactions on …, 2019 - ieeexplore.ieee.org
Retinal swelling due to the accumulation of fluid is associated with the most vision-
threatening retinal diseases. Optical coherence tomography (OCT) is the current standard of …
threatening retinal diseases. Optical coherence tomography (OCT) is the current standard of …
Deep-learning based multiclass retinal fluid segmentation and detection in optical coherence tomography images using a fully convolutional neural network
As a non-invasive imaging modality, optical coherence tomography (OCT) can provide
micrometer-resolution 3D images of retinal structures. These images can help reveal …
micrometer-resolution 3D images of retinal structures. These images can help reveal …
Multi-scale GCN-assisted two-stage network for joint segmentation of retinal layers and discs in peripapillary OCT images
An accurate and automated tissue segmentation algorithm for retinal optical coherence
tomography (OCT) images is crucial for the diagnosis of glaucoma. However, due to the …
tomography (OCT) images is crucial for the diagnosis of glaucoma. However, due to the …
Deep learning approach for the detection and quantification of intraretinal cystoid fluid in multivendor optical coherence tomography
FG Venhuizen, B Van Ginneken, B Liefers… - Biomedical optics …, 2018 - opg.optica.org
We developed a deep learning algorithm for the automatic segmentation and quantification
of intraretinal cystoid fluid (IRC) in spectral domain optical coherence tomography (SD-OCT) …
of intraretinal cystoid fluid (IRC) in spectral domain optical coherence tomography (SD-OCT) …
Automatic fluid segmentation in retinal optical coherence tomography images using attention based deep learning
Optical coherence tomography (OCT) is one of the most commonly used ophthalmic
diagnostic techniques. Macular Edema (ME) is the swelling of the macular region in the eye …
diagnostic techniques. Macular Edema (ME) is the swelling of the macular region in the eye …