Low-Dose CT Image Denoising Based on Improved DD-Net and Local Filtered Mechanism
Published 2022 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Low-Dose CT Image Denoising Based on Improved DD-Net and Local Filtered Mechanism
Authors
Keywords
-
Journal
Computational Intelligence and Neuroscience
Volume 2022, Issue -, Pages 1-18
Publisher
Hindawi Limited
Online
2022-08-04
DOI
10.1155/2022/2692301
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Medical image super-resolution via deep residual neural network in the shearlet domain
- (2021) Chunpeng Wang et al. MULTIMEDIA TOOLS AND APPLICATIONS
- Blockchain-Federated-Learning and Deep Learning Models for COVID-19 Detection Using CT Imaging
- (2021) Rajesh Kumar et al. IEEE SENSORS JOURNAL
- CLEAR: Comprehensive Learning Enabled Adversarial Reconstruction for Subtle Structure Enhanced Low-Dose CT Imaging
- (2021) Yikun Zhang et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- MedSRGAN: medical images super-resolution using generative adversarial networks
- (2020) Yuchong Gu et al. MULTIMEDIA TOOLS AND APPLICATIONS
- A Novel 3D Reconstruction Algorithm of Motion-Blurred CT Image
- (2020) Zhang Jing et al. Computational and Mathematical Methods in Medicine
- MCFNet: Multi-Layer Concatenation Fusion Network for Medical Images Fusion
- (2019) Xuecan Liang et al. IEEE SENSORS JOURNAL
- Domain Progressive 3D Residual Convolution Network to Improve Low-Dose CT Imaging
- (2019) Xiangrui Yin et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- Research on 3D Reconstruction Algorithm of Medical CT Image Based on Parallel Contour
- (2019) Wei Zhao et al. IEEE SENSORS JOURNAL
- A Sparse-View CT Reconstruction Method Based on Combination of DenseNet and Deconvolution
- (2018) Zhicheng Zhang et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- Low-Dose CT Image Denoising Using a Generative Adversarial Network With Wasserstein Distance and Perceptual Loss
- (2018) Qingsong Yang et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- 3-D Convolutional Encoder-Decoder Network for Low-Dose CT via Transfer Learning From a 2-D Trained Network
- (2018) Hongming Shan et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- Sharpness-Aware Low-Dose CT Denoising Using Conditional Generative Adversarial Network
- (2018) Xin Yi et al. JOURNAL OF DIGITAL IMAGING
- Low-Dose CT With a Residual Encoder-Decoder Convolutional Neural Network
- (2017) Hu Chen et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- Iterative Low-Dose CT Reconstruction With Priors Trained by Artificial Neural Network
- (2017) Dufan Wu et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- Generative Adversarial Networks for Noise Reduction in Low-Dose CT
- (2017) Jelmer M. Wolterink et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- Non-local total-variation (NLTV) minimization combined with reweighted L1-norm for compressed sensing CT reconstruction
- (2016) Hojin Kim et al. PHYSICS IN MEDICINE AND BIOLOGY
- CT Image Reconstruction from Sparse Projections Using Adaptive TpV Regularization
- (2015) Hongliang Qi et al. Computational and Mathematical Methods in Medicine
- Improving abdomen tumor low-dose CT images using a fast dictionary learning based processing
- (2013) Yang Chen et al. PHYSICS IN MEDICINE AND BIOLOGY
- Thoracic low-dose CT image processing using an artifact suppressed large-scale nonlocal means
- (2012) Yang Chen et al. PHYSICS IN MEDICINE AND BIOLOGY
- Comments on "Image Denoising by Sparse 3-D Transform-Domain Collaborative Filtering
- (2010) Yingkun Hou et al. IEEE TRANSACTIONS ON IMAGE PROCESSING
Find Funding. Review Successful Grants.
Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.
ExploreAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started