Search Results for author:
Found 7 papers, 1 papers with code
Optical Coherence Tomography Image Enhancement via Block Hankelization and Low Rank Tensor Network Approximation
The low resolution image was first patch Hankelized and then its Tensor Ring decomposition with rank incremental has been computed.
Automatic Detection of Microaneurysms in OCT Images Using Bag of Features
As a result, in this paper has attempted to identify areas with MA from normal areas of the retina using OCT images.
Multiscale Sparsifying Transform Learning for Image Denoising
The data-driven sparse methods such as synthesis dictionary learning (e. g., K-SVD) and sparsifying transform learning have been proven effective in image denoising.
Livelayer: A Semi-Automatic Software Program for Segmentation of Layers and Diabetic Macular Edema in Optical Coherence Tomography Images
The amount of time (seconds) that Livelayer required for segmentation of ILM, IPL-INL, OPL-ONL was much less than that for the manual segmentation, 5s for the ILM (minimum) and 15. 57s for the OPL-ONL (maximum).
Classification of dry age-related macular degeneration and diabetic macular edema from optical coherence tomography images using dictionary learning
With the aim of automatic classification of DME, AMD and normal subjects from Optical Coherence Tomography (OCT) images, we proposed a classification algorithm.
Three-dimensional Optical Coherence Tomography Image Denoising through Multi-input Fully-Convolutional Networks
In recent years, there has been a growing interest in applying convolutional neural networks (CNNs) to low-level vision tasks such as denoising and super-resolution.
Thickness Mapping of Eleven Retinal Layers in Normal Eyes Using Spectral Domain Optical Coherence Tomography
This study was conducted to determine the thickness map of eleven retinal layers in normal subjects by spectral domain optical coherence tomography (SD-OCT) and evaluate their association with sex and age.
