A review on texture-based methods for anomaly detection in retinal optical coherence tomography images
M Monemian, M Irajpour, H Rabbani - Optik, 2023 - Elsevier
Retina is an important body organ responsible for human vision. There are many important
retinal diseases which may damage the vision and even cause blindness. Optical …
retinal diseases which may damage the vision and even cause blindness. Optical …
OCTID: Optical coherence tomography image database
Optical coherence tomography (OCT) is a non-invasive imaging modality that is widely used
in clinical ophthalmology. OCT images are capable of visualizing deep retinal layers which …
in clinical ophthalmology. OCT images are capable of visualizing deep retinal layers which …
A deep separable neural network for human tissue identification in three-dimensional optical coherence tomography images
This research proposes a dilated depthwise separable network for human tissue
identification using three-dimensional (3D) optical coherence tomography (OCT) images …
identification using three-dimensional (3D) optical coherence tomography (OCT) images …
Machine learning aided automated differential diagnostics of chronic rhinitis based on optical coherence tomography
N Soloviev, A Khilov, M Shakhova, A Meller… - Laser Physics …, 2020 - iopscience.iop.org
Chronic rhinitis (CR) is among the most frequent inflammatory diseases of ear-nose-throat
(ENT) covering up to 30% of the population. Different forms of CR require different treatment …
(ENT) covering up to 30% of the population. Different forms of CR require different treatment …
[PDF][PDF] Classification of retina diseases from OCT using genetic programming
H Abdulrahman, M Khatib - Int J Comput Appl, 2020 - researchgate.net
In this paper, a fully automated method for feature extraction and classification of retina
diseases is implemented. The main idea is to find a method that can extract the important …
diseases is implemented. The main idea is to find a method that can extract the important …
Potential of attention mechanism for classification of optical coherence tomography images
Z Shang, Z Fu, C Liu, H Xie… - 2018 IEEE Visual …, 2018 - ieeexplore.ieee.org
Deep neural network (DNN) can extract high-dimensional feature of images for computer
vision tasks including Optical Coherence Tomography (OCT) images classification …
vision tasks including Optical Coherence Tomography (OCT) images classification …
Developing algorithms for the analysis of retinal Optical Coherence Tomography images
P Gholami - 2018 - uwspace.uwaterloo.ca
Vision loss, with a prevalence loss greater than 42 million in the United States is one of the
major challenges of today's health-care industry and medical science. Early detection of …
major challenges of today's health-care industry and medical science. Early detection of …
Mixture of Symmetric Stable Distributions for Macular Pathology Detection in Optical Coherence Tomography Scans
M Tajmirriahi, R Rostamian, Z Amini… - 2022 44th Annual …, 2022 - ieeexplore.ieee.org
Optical coherence tomography (OCT) is widely used to detect retinal disorders. In this study
a new methodology is proposed for automatic detection of macular pathologies in the OCT …
a new methodology is proposed for automatic detection of macular pathologies in the OCT …
Classification of OCT Images for Detecting Diabetic Retinopathy Disease Using Machine Learning
M Aldahami, U Alqasemi - 2020 - researchsquare.com
Background Optical Coherence Tomography (OCT) imaging aids in retinal abnormality
detection by showing the tomographic retinal layers. OCT images are a useful tool for …
detection by showing the tomographic retinal layers. OCT images are a useful tool for …
Classification of Retinal Images for Detecting Diabetic Retinopathy Disease by Using Machine Learning
MA ALDAHAMI, JS ARABIA - platform.almanhal.com
ABSTRACT Optical Coherence Tomography (OCT) imaging aids in retinal abnormality
detection by showing the tomographic retinal layers. OCT imaging is a useful tool for …
detection by showing the tomographic retinal layers. OCT imaging is a useful tool for …