A lightweight mimic convolutional auto-encoder for denoising retinal optical coherence tomography images
Optical coherence tomography (OCT) is widely used for diagnosing and monitoring retinal
disorders. However, despite hardware improvements, its scans are still highly affected by …
disorders. However, despite hardware improvements, its scans are still highly affected by …
Deep-learning-based automated measurement of outer retinal layer thickness for use in the assessment of age-related macular degeneration, applicable to both …
Effective biomarkers are required for assessing the progression of age-related macular
degeneration (AMD), a prevalent and progressive eye disease. This paper presents a deep …
degeneration (AMD), a prevalent and progressive eye disease. This paper presents a deep …
Retinal layer segmentation in optical coherence tomography (OCT) using a 3D deep-convolutional regression network for patients with age-related macular …
S Mukherjee, T De Silva, P Grisso, H Wiley… - Biomedical Optics …, 2022 - opg.optica.org
Introduction–Retinal layer segmentation in optical coherence tomography (OCT) images is
an important approach for detecting and prognosing disease. Automating segmentation …
an important approach for detecting and prognosing disease. Automating segmentation …
Segmentation of preretinal space in optical coherence tomography images using deep neural networks
This paper proposes an efficient segmentation of the preretinal area between the inner
limiting membrane (ILM) and posterior cortical vitreous (PCV) of the human eye in an image …
limiting membrane (ILM) and posterior cortical vitreous (PCV) of the human eye in an image …
Multivariate statistical modeling of retinal optical coherence tomography
M Samieinasab, Z Amini… - IEEE transactions on …, 2020 - ieeexplore.ieee.org
In this paper a new statistical multivariate model for retinal Optical Coherence Tomography
(OCT) B-scans is proposed. Due to the layered structure of OCT images, there is a horizontal …
(OCT) B-scans is proposed. Due to the layered structure of OCT images, there is a horizontal …
Automated drusen detection in dry age-related macular degeneration by multiple-depth, en face optical coherence tomography
We introduce a method to automatically detect drusen in dry age-related macular
degeneration (AMD) from optical coherence tomography with minimum need for layer …
degeneration (AMD) from optical coherence tomography with minimum need for layer …
Interleaving automatic segmentation and expert opinion for retinal conditions
S Bilc, A Groza, G Muntean, SD Nicoara - Diagnostics, 2021 - mdpi.com
Optical coherence tomography (OCT) has become the leading diagnostic tool in modern
ophthalmology. We are interested here in developing a support tool for the segmentation of …
ophthalmology. We are interested here in developing a support tool for the segmentation of …
Denoising methods for improving automatic segmentation in OCT images of human eye
This paper presents analysis of selected noise reduction methods used in optical coherence
tomography (OCT) retina images (the socalled B-scans). The tested algorithms include …
tomography (OCT) retina images (the socalled B-scans). The tested algorithms include …
Effectiveness of region growing based segmentation technique for various medical images-a study
Due to rapid and continuous progress along with higher fidelity rate, medical imaging is
becoming one of the most crucial fields in scientific imaging. Both microscopic and …
becoming one of the most crucial fields in scientific imaging. Both microscopic and …
Matching 3d oct retina images into super-resolution dataset
Optical coherence tomography (OCT) is the current very fast and accurate modality for
noninvasive assessment of 3D retinal structure. Due to large amount of data acquired with …
noninvasive assessment of 3D retinal structure. Due to large amount of data acquired with …