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 …
Automatic choroid layer segmentation from optical coherence tomography images using deep learning
The choroid layer is a vascular layer in human retina and its main function is to provide
oxygen and support to the retina. Various studies have shown that the thickness of the …
oxygen and support to the retina. Various studies have shown that the thickness of the …
Semi-supervised automatic segmentation of layer and fluid region in retinal optical coherence tomography images using adversarial learning
Optical coherence tomography (OCT) is a primary imaging technique for ophthalmic
diagnosis due to its advantages in high resolution and non-invasiveness. Diabetes is a …
diagnosis due to its advantages in high resolution and non-invasiveness. Diabetes is a …
Automatic segmentation and visualization of choroid in OCT with knowledge infused deep learning
The choroid provides oxygen and nourishment to the outer retina thus is related to the
pathology of various ocular diseases. Optical coherence tomography (OCT) is …
pathology of various ocular diseases. Optical coherence tomography (OCT) is …
Automatic segmentation of macular holes in optical coherence tomography images: a review
OLC Mendes, AR Lucena, DR Lucena… - Journal of Artificial …, 2020 - iecscience.org
Macular holes are a blinding condition that occur due to overuse of the fovea, in which a
hole alters the natural retinal structure. Optical Coherence Tomography (OCT) is a way of …
hole alters the natural retinal structure. Optical Coherence Tomography (OCT) is a way of …
Automated layer segmentation of retinal optical coherence tomography images using a deep feature enhanced structured random forests classifier
Optical coherence tomography (OCT) is a high-resolution and noninvasive imaging modality
that has become one of the most prevalent techniques for ophthalmic diagnosis. Retinal …
that has become one of the most prevalent techniques for ophthalmic diagnosis. Retinal …
Review of level set in image segmentation
Z Wang, B Ma, Y Zhu - Archives of Computational Methods in Engineering, 2021 - Springer
Level set is one of active contour models, which is good at handling complex topologies and
capturing boundary. The level set methods are specially used in image with intensity …
capturing boundary. The level set methods are specially used in image with intensity …
ChoroidNET: a dense dilated U-Net model for choroid layer and vessel segmentation in optical coherence tomography images
Understanding the changes in choroidal thickness and vasculature is important to monitor
the development and progression of various ophthalmic diseases. Accurate segmentation of …
the development and progression of various ophthalmic diseases. Accurate segmentation of …
[HTML][HTML] An update on choroidal layer segmentation methods in optical coherence tomography images: a review
Choroid is one of the structural layers, playing a significant role in physiology of the eye and
lying between the sclera and the retina. The segmentation of this layer could guide …
lying between the sclera and the retina. The segmentation of this layer could guide …
[PDF][PDF] Unet and variants for medical image segmentation
W Ehab, L Huang, Y Li - 2024 - bura.brunel.ac.uk
Medical imaging plays a crucial role in modern healthcare by providing non-invasive
visualisation of internal structures and abnormalities, enabling early disease detection …
visualisation of internal structures and abnormalities, enabling early disease detection …