Speckle reduction in medical ultrasound images using an unbiased non-local means method
Enhancement of ultrasound (US) images is required for proper visual inspection and further
pre-processing since US images are generally corrupted with speckle. In this paper, a new …
pre-processing since US images are generally corrupted with speckle. In this paper, a new …
Segmentation of intra-retinal cysts from optical coherence tomography images using a fully convolutional neural network model
GN Girish, B Thakur, SR Chowdhury… - IEEE journal of …, 2018 - ieeexplore.ieee.org
Optical coherence tomography (OCT) is an imaging modality that is used extensively for
ophthalmic diagnosis, near-histological visualization, and quantification of retinal …
ophthalmic diagnosis, near-histological visualization, and quantification of retinal …
Self distillation for improving the generalizability of retinal disease diagnosis using optical coherence tomography images
N Paluru, H Ravishankar, S Hegde… - IEEE Journal of …, 2023 - ieeexplore.ieee.org
Optical coherence tomography (OCT) imaging has become a point-of-care imaging modality
for the diagnosis of retinal diseases. Varying speckle noise in the OCT images across …
for the diagnosis of retinal diseases. Varying speckle noise in the OCT images across …
Medical image fusion based on quasi-cross bilateral filtering
Y Zhang, M Wang, X Xia, D Sun, X Zhou… - … Signal Processing and …, 2023 - Elsevier
Image fusion technology is a method that uses a specific algorithm to extract and fuse
features from multiple images and then combine them into one image. Unfortunately, most of …
features from multiple images and then combine them into one image. Unfortunately, most of …
Modeling of retinal optical coherence tomography based on stochastic differential equations: Application to denoising
In this paper a statistical modeling, based on stochastic differential equations (SDEs), is
proposed for retinal Optical Coherence Tomography (OCT) images. In this method, pixel …
proposed for retinal Optical Coherence Tomography (OCT) images. In this method, pixel …
A new approach to medical image fusion based on the improved Extended difference-of-Gaussians combined with the Coati optimization algorithm
The synthesis of medical images plays a pivotal role in image-based disease diagnosis. In
recent years, numerous medical image synthesis methods have been proposed …
recent years, numerous medical image synthesis methods have been proposed …
Detection of retinal disorders from OCT images using generative adversarial networks
A Smitha, P Jidesh - Multimedia Tools and Applications, 2022 - Springer
Retinal image analysis has opened up a new window for prompt diagnosis and detection of
various retinal disorders. Optical Coherence Tomography (OCT) is one of the major …
various retinal disorders. Optical Coherence Tomography (OCT) is one of the major …
RPE layer detection and baseline estimation using statistical methods and randomization for classification of AMD from retinal OCT
Abstract Background and Objective: Age-related macular degeneration (AMD) is a condition
of the eye that affects the aged people. Optical coherence tomography (OCT) is a diagnostic …
of the eye that affects the aged people. Optical coherence tomography (OCT) is a diagnostic …
A cascaded convolutional neural network architecture for despeckling OCT images
Abstract Optical Coherence Tomography (OCT) is an imaging technique widely used for
medical imaging. Noise in an OCT image generally degrades its quality, thereby obscuring …
medical imaging. Noise in an OCT image generally degrades its quality, thereby obscuring …
Progressive feature fusion attention dense network for speckle noise removal in OCT images
L Zeng, M Huang, Y Li, Q Chen… - IEEE/ACM Transactions …, 2022 - ieeexplore.ieee.org
Although deep learning for Big Data analytics has achieved promising results in the field of
optical coherence tomography (OCT) image denoising, the low recognition rate caused by …
optical coherence tomography (OCT) image denoising, the low recognition rate caused by …