Improving robustness of a deep learning-based lung-nodule classification model of CT images with respect to image noise. [PDF]
Phys Med Biol, 2021 Gao Y, Xiong J, Shen C, Jia X.
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Noise estimation in medical images based on fast discrete curvelet transform via wrapping
Results in OpticsThese days, image processing is a developing field of study. Images have many contribution to research in a number of areas, including biomedical, security, education, and space.
R. Girija, H. Singh, G. Abirami
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Evaluation of left ventricular diastolic function of patients with coronary heart disease by ultrasound images on bilateral filtering image noise reduction algorithm combined with electrocardiogram. [PDF]
Pak J Med Sci, 2021 Li W.
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On the robustness of deep learning-based lung-nodule classification for CT images with respect to image noise. [PDF]
Phys Med Biol, 2020 Shen C +7 more
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Study on the Influence of Image Noise on Monocular Feature-Based Visual SLAM Based on FFDNet. [PDF]
Sensors (Basel), 2020 Cao L, Ling J, Xiao X.
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Comparative Accuracies of the N-Localizer and Sturm-Pastyr Localizer in the Presence of Image Noise. [PDF]
Cureus, 2020 Alaminos-Bouza AL, Brown RA.
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Optimization method for TDI-CCD image noise suppression based on improved transformer algorithm. [PDF]
Sci RepBai Y, Yan C, Cao X.
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Quantification and homogenization of image noise between two CT scanner models. [PDF]
J Appl Clin Med Phys, 2020 Einstein SA, Rong XJ, Jensen CT, Liu X.
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Low-Dose CT Quality Assurance at Scale: Automated Detection of Overscanning, Underscanning, and Image Noise. [PDF]
Life (Basel)Wienholt P +6 more
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Incremental Image Noise Reduction in Coronary CT Angiography Using a Deep Learning-Based Technique with Iterative Reconstruction. [PDF]
Korean J Radiol, 2020 Hong JH, Park EA, Lee W, Ahn C, Kim JH.
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