A review on deep learning approaches for low-dose computed tomography restoration

KASH Kulathilake, NA Abdullah, AQM Sabri… - Complex & Intelligent …, 2023 - Springer
Computed Tomography (CT) is a widely use medical image modality in clinical medicine,
because it produces excellent visualizations of fine structural details of the human body. In …

A review on self-adaptation approaches and techniques in medical image denoising algorithms

KASH Kulathilake, NA Abdullah, AQM Sabri… - Multimedia Tools and …, 2022 - Springer
Noise is a definite degeneration of medical images that interferes with the diagnostic
process in clinical medicine. Although many denoising algorithms have been developed to …

[Retracted] InNetGAN: Inception Network‐Based Generative Adversarial Network for Denoising Low‐Dose Computed Tomography

KASH Kulathilake, NA Abdullah… - Journal of …, 2021 - Wiley Online Library
Low‐dose Computed Tomography (LDCT) has gained a great deal of attention in clinical
procedures due to its ability to reduce the patient's risk of exposure to the X‐ray radiation …

Sdct-gan: reconstructing CT from biplanar x-rays with self-driven generative adversarial networks

S Cheng, Q Chen, Q Zhang, M Li, Y Alike, K Su… - arXiv preprint arXiv …, 2023 - arxiv.org
Computed Tomography (CT) is a medical imaging modality that can generate more
informative 3D images than 2D X-rays. However, this advantage comes at the expense of …

Review of sparse-view or limited-angle CT reconstruction based on deep learning

J Di, J Lin, L Zhong, K Qian, Y Qin - Laser & Optoelectronics …, 2023 - researching.cn
Computed tomography (CT) technology is widely used in clinical medical diagnosis thanks
to the excellent visualization of the CT imaging technology for the internal cross-sectional …

[HTML][HTML] 基于高维PDE 投影恢复的低剂量CT 重建方法

牛善洲, 唐诗洲, 黄舒彦, 梁礼境, 李硕… - Journal of Southern …, 2024 - ncbi.nlm.nih.gov
基于高维PDE投影恢复的低剂量CT重建方法- PMC Back to Top Skip to main content NIH NLM
Logo Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation …

Low-dose CT reconstruction based on high-dimensional partial differential equation projection recovery

S Niu, S Tang, S Huang, L Liang, S Li… - Nan Fang yi ke da xue …, 2024 - europepmc.org
Objective We propose a low-dose CT reconstruction method using partial differential
equation (PDE) denoising under high-dimensional constraints. Methods The projection data …

Optimizing the Non-local Means Filtering of CT Images Ivo Draganov and Veska Gancheva

I Draganov - Medical Imaging and Computer-Aided Diagnosis …, 2023 - books.google.com
In this paper a general optimizing procedure is proposed for the nonlocal means (NLM) filter.
It involves finding the optimal degree of smoothing, the size of the search window and the …

Optimizing the Non-local Means Filtering of CT Images

I Draganov, V Gancheva - … Conference on Medical Imaging and Computer …, 2022 - Springer
In this paper a general optimizing procedure is proposed for the non-local means (NLM)
filter. It involves finding the optimal degree of smoothing, the size of the search window and …

[PDF][PDF] Research Article InNetGAN: Inception Network-Based Generative Adversarial Network for Denoising Low-Dose Computed Tomography

KASH Kulathilake, NA Abdullah, AMRR Bandara… - 2021 - academia.edu
Low-dose Computed Tomography (LDCT) has gained a great deal of attention in clinical
procedures due to its ability to reduce the patient's risk of exposure to the X-ray radiation …