To prevent patients from being exposed to excess of radiation in CT imaging, the most common solution is to decrease the radiation dose by reducing the ...

The study results show that CNN-based denoising methods capture image details efficiently through multi-level convolution operation, demonstrating superior ...

May 30, 2021 · Computed Tomography (CT) is a widely use medical image modality in clinical medicine, because it produces excellent visualizations of fine ...

Computed Tomography (CT) is a widely use medical image modality in clinical medicine, because it produces excellent visualizations of fine structural ...

Jan 19, 2024 · A review on deep learning approaches for low-dose computed tomography restoration. ... CT image denoising using unpaired deep learning methods ...

Generally speaking, the methods of image denoising can be divided into two categories, i.e., traditional algorithms and deep-learning based methods. Traditional ...

PDF | Computed Tomography (CT) is a widely use medical image modality in clinical medicine, because it produces excellent visualizations of fine.

A deep convolutional neural network is trained to transform low-dose CT images towards normal-dose CT images, patch by patch. Visual and quantitative evaluation ...

The aim of this systematic review is to determine whether Deep Learning (DL) algorithms can provide a clinically feasible alternative to classic algorithms ...

A Review of deep learning methods for denoising of medical low-dose CT images. ... Low-Dose CT Scan Image Denoising Models: A Systematic Literature Review.