An application of deep dual convolutional neural network for enhanced medical image denoising
This work investigates the medical image denoising (MID) application of the dual denoising
network (DudeNet) model for chest X-ray (CXR). The DudeNet model comprises four …
network (DudeNet) model for chest X-ray (CXR). The DudeNet model comprises four …
A novel complex-valued convolutional neural network for medical image denoising
Several applications of complex-valued networks have been reported for computer vision
tasks like image processing and classification. However, complex-valued convolutional …
tasks like image processing and classification. However, complex-valued convolutional …
Chest X‐ray image denoising method based on deep convolution neural network
Y Jin, XB Jiang, Z Wei, Y Li - IET Image Processing, 2019 - Wiley Online Library
To improve the visual effect of chest X‐ray images and reduce the noise interference in
disease diagnosis based on the chest X‐ray images, the authors proposed an image …
disease diagnosis based on the chest X‐ray images, the authors proposed an image …
Medical image denoising using convolutional autoencoder with shortcut connections
M Gupta, A Goel, K Goel… - 2023 5th International …, 2023 - ieeexplore.ieee.org
In recent times, medical image analysis has gained immense attention among researchers
for diagnosing and treating deadly diseases, eg, Cancer. Denoising of Images is considered …
for diagnosing and treating deadly diseases, eg, Cancer. Denoising of Images is considered …
Performance evaluation of image denoising developed using convolutional denoising autoencoders in chest radiography
When processing medical images, image denoising is an important pre-processing step.
Various image denoising algorithms have been developed in the past few decades …
Various image denoising algorithms have been developed in the past few decades …
Ultra-dense denoising network: application to cardiac catheter-based X-ray procedures
Reducing radiation dose in cardiac catheter-based X-ray procedures increases safety but
also image noise and artifacts. Excessive noise and artifacts can compromise vital image …
also image noise and artifacts. Excessive noise and artifacts can compromise vital image …
[HTML][HTML] DMF-Net: a deep multi-level semantic fusion network for high-resolution chest CT and X-ray image de-noising
Medical images such as CT and X-ray have been widely used for the detection of several
chest infections and lung diseases. However, these images are susceptible to different types …
chest infections and lung diseases. However, these images are susceptible to different types …
Gradient-based optimization algorithm for hybrid loss function in low-dose ct denoising
Deep learning techniques have emerged in de-noising low-dose computed tomography
(CT) images to avoid the potential health risks of high ionizing radiation dose on patients …
(CT) images to avoid the potential health risks of high ionizing radiation dose on patients …
Dual-domain fusion deep convolutional neural network for low-dose CT denoising
Z Li, Y Liu, Y Chen, H Shu, J Lu… - Journal of X-Ray Science …, 2023 - content.iospress.com
BACKGROUND: In view of the underlying health risks posed by X-ray radiation, the main
goal of the present research is to achieve high-quality CT images at the same time as …
goal of the present research is to achieve high-quality CT images at the same time as …
An Efficient Denoising of Medical Images Through Convolutional Neural Network
K Soni Sharmila, SP Manikanta… - … on Cognitive Computing …, 2023 - Springer
Denoising medical images is a critical step in enhancing image quality and improving
diagnostic accuracy. In this work, an efficient denoising method has been proposed for …
diagnostic accuracy. In this work, an efficient denoising method has been proposed for …