Uncertainty estimation in medical image denoising with bayesian deep image prior
Uncertainty quantification in inverse medical imaging tasks with deep learning has received
little attention. However, deep models trained on large data sets tend to hallucinate and …
little attention. However, deep models trained on large data sets tend to hallucinate and …
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 …
Autoencoder-based dense denoiser and block-based wiener filter for noise reduction of optical coherence tomography
M Juneja, GS Chhatwal, S Bhattacharya… - Computers and …, 2023 - Elsevier
Abstract Optical Coherence Tomography (OCT) is an advanced imaging modality used for
diagnosis of retinal abnormalities. OCT is acquired using low coherence light waves …
diagnosis of retinal abnormalities. OCT is acquired using low coherence light waves …
Fast optical coherence tomography image enhancement using deep learning for smart laser surgery: preliminary study in bone tissue
One of the most common image denoising technique used in Optical Coherence
Tomography (OCT) is the frame averaging method. Inherent to this method is that the more …
Tomography (OCT) is the frame averaging method. Inherent to this method is that the more …
Deep autoencoders for denoising computerized tomography (CT) images
AJM Adoptante, AS Alon… - … Research Journal on …, 2022 - ojs.batstate-u.edu.ph
Understanding the complexities of human biology and making accurate medical diagnoses
depend heavily on medical imaging technologies. However, a major barrier to proper …
depend heavily on medical imaging technologies. However, a major barrier to proper …