A lightweight mimic convolutional auto-encoder for denoising retinal optical coherence tomography images

M Tajmirriahi, R Kafieh, Z Amini… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Optical coherence tomography (OCT) is widely used for diagnosing and monitoring retinal
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 …

J Lu, Y Cheng, FE Hiya, M Shen, G Herrera… - Biomedical optics …, 2023 - opg.optica.org
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 …

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 …

Segmentation of preretinal space in optical coherence tomography images using deep neural networks

A Stankiewicz, T Marciniak, A Dabrowski, M Stopa… - Sensors, 2021 - mdpi.com
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 …

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 …

Automated drusen detection in dry age-related macular degeneration by multiple-depth, en face optical coherence tomography

R Zhao, A Camino, J Wang, AM Hagag, Y Lu… - Biomedical optics …, 2017 - opg.optica.org
We introduce a method to automatically detect drusen in dry age-related macular
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 …

Denoising methods for improving automatic segmentation in OCT images of human eye

A Stankiewicz, T Marciniak, A Dąbrowski… - Bulletin of the Polish …, 2017 - journals.pan.pl
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 …

Effectiveness of region growing based segmentation technique for various medical images-a study

M Dabass, S Vashisth, R Vig - … , REDSET 2017, Gurgaon, India, October 13 …, 2018 - Springer
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 …

Matching 3d oct retina images into super-resolution dataset

A Stankiewicz, T Marciniak, A Dąbrowski… - 2016 Signal …, 2016 - ieeexplore.ieee.org
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 …