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 …
RetiFluidNet: a self-adaptive and multi-attention deep convolutional network for retinal OCT fluid segmentation
Optical coherence tomography (OCT) helps ophthalmologists assess macular edema,
accumulation of fluids, and lesions at microscopic resolution. Quantification of retinal fluids is …
accumulation of fluids, and lesions at microscopic resolution. Quantification of retinal fluids is …
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 …
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 …
[HTML][HTML] Automated segmentation of retinal fluid volumes from structural and angiographic optical coherence tomography using deep learning
Purpose: We proposed a deep convolutional neural network (CNN), named Retinal Fluid
Segmentation Network (ReF-Net), to segment retinal fluid in diabetic macular edema (DME) …
Segmentation Network (ReF-Net), to segment retinal fluid in diabetic macular edema (DME) …
[HTML][HTML] Segmentation of retinal fluid based on deep learning: application of three-dimensional fully convolutional neural networks in optical coherence tomography …
MX Li, SQ Yu, W Zhang, H Zhou, X Xu… - International journal …, 2019 - ncbi.nlm.nih.gov
AIM To explore a segmentation algorithm based on deep learning to achieve accurate
diagnosis and treatment of patients with retinal fluid. METHODS A two-dimensional (2D) fully …
diagnosis and treatment of patients with retinal fluid. METHODS A two-dimensional (2D) fully …
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 …
RetFluidNet: retinal fluid segmentation for SD-OCT images using convolutional neural network
LB Sappa, IP Okuwobi, M Li, Y Zhang, S Xie… - Journal of Digital …, 2021 - Springer
Age-related macular degeneration (AMD) is one of the leading causes of irreversible
blindness and is characterized by fluid-related accumulations such as intra-retinal fluid …
blindness and is characterized by fluid-related accumulations such as intra-retinal fluid …
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 …
Retinal fluid segmentation in OCT images using adversarial loss based convolutional neural networks
R Tennakoon, AK Gostar… - 2018 IEEE 15th …, 2018 - ieeexplore.ieee.org
This paper proposes a novel method in order to obtain voxel-level segmentation for three
fluid lesion types (IR-F/SRF/PED) in OCT images provided by the ReTOUCH challenge [1] …
fluid lesion types (IR-F/SRF/PED) in OCT images provided by the ReTOUCH challenge [1] …
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