AIMC Topic: Image Enhancement

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Deep Learning Enhanced Electrochemiluminescence Microscopy.

Analytical chemistry Mar 3, 2023
Limited by the efficiency of electrochemiluminescence, tens of seconds of exposure time are typically required to get a high-quality image. Image enhancement of short exposure time images to obtain a well-defined electrochemiluminescence image can me...
Neural Networks, Computer Image Enhancement Photometry Deep Learning Microscopy
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Evaluation of a deep learning-based reconstruction method for denoising and image enhancement of shoulder MRI in patients with shoulder pain.

European radiology Feb 18, 2023
OBJECTIVES: To evaluate the diagnostic performance of an automated reconstruction algorithm combining MR imaging acquired using compressed SENSE (CS) with deep learning (DL) in order to reconstruct denoised high-quality images from undersampled MR im...
Humans Female Shoulder Pain Image Processing, Computer-Assisted Signal-To-Noise Ratio Middle Aged Magnetic Resonance Imaging Cartilage, Articular Deep Learning Image Enhancement Young Adult Shoulder Adult
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An application of deep dual convolutional neural network for enhanced medical image denoising.

Medical & biological engineering & computing Jan 14, 2023
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 components: a feature extraction block with a sparse mechanism, an enhancement ...
Image Enhancement Signal-To-Noise Ratio Normal Distribution Data Compression Neural Networks, Computer Image Processing, Computer-Assisted
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Application of deep learning-based super-resolution to T1-weighted postcontrast gradient echo imaging of the chest.

La Radiologia medica Jan 7, 2023
OBJECTIVES: A deep learning-based super-resolution for postcontrast volume-interpolated breath-hold examination (VIBE) of the chest was investigated in this study. Aim was to improve image quality, noise, artifacts and diagnostic confidence without c...
Contrast Media Magnetic Resonance Imaging Artifacts Image Enhancement Deep Learning Imaging, Three-Dimensional Humans Retrospective Studies
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Rapid lumbar MRI protocol using 3D imaging and deep learning reconstruction.

Skeletal radiology Jan 5, 2023
BACKGROUND AND PURPOSE: Three-dimensional (3D) imaging of the spine, augmented with AI-enabled image enhancement and denoising, has the potential to reduce imaging times without compromising image quality or diagnostic performance. This work evaluate...
Imaging, Three-Dimensional Magnetic Resonance Imaging Humans Deep Learning Constriction, Pathologic Image Enhancement
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GRASPNET: Fast spatiotemporal deep learning reconstruction of golden-angle radial data for free-breathing dynamic contrast-enhanced magnetic resonance imaging.

NMR in biomedicine Nov 25, 2022
The purpose of the current study was to develop a deep learning technique called Golden-angle RAdial Sparse Parallel Network (GRASPnet) for fast reconstruction of dynamic contrast-enhanced 4D MRI acquired with golden-angle radial k-space trajectories...
Deep Learning Imaging, Three-Dimensional Humans Contrast Media Image Enhancement Magnetic Resonance Imaging Image Interpretation, Computer-Assisted Respiration Artifacts
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Deep Learning for Image Enhancement and Correction in Magnetic Resonance Imaging-State-of-the-Art and Challenges.

Journal of digital imaging Nov 2, 2022
Magnetic resonance imaging (MRI) provides excellent soft-tissue contrast for clinical diagnoses and research which underpin many recent breakthroughs in medicine and biology. The post-processing of reconstructed MR images is often automated for incor...
Image Enhancement Humans Image Processing, Computer-Assisted Artificial Intelligence Algorithms Magnetic Resonance Imaging Deep Learning
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Compact Image-Style Transfer: Channel Pruning on the Single Training of a Network.

Sensors (Basel, Switzerland) Nov 2, 2022
Recent image-style transfer methods use the structure of a VGG feature network to encode and decode the feature map of the image. Since the network is designed for the general image-classification task, it has a number of channels and, accordingly, r...
Neural Networks, Computer Image Enhancement
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Deep Learning-Based Synthesized View Quality Enhancement with DIBR Distortion Mask Prediction Using Synthetic Images.

Sensors (Basel, Switzerland) Oct 24, 2022
Recently, deep learning-based image quality enhancement models have been proposed to improve the perceptual quality of distorted synthesized views impaired by compression and the Depth Image-Based Rendering (DIBR) process in a multi-view video system...
Image Enhancement Data Compression Deep Learning
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Segmentation for Multi-Rock Types on Digital Outcrop Photographs Using Deep Learning Techniques.

Sensors (Basel, Switzerland) Oct 22, 2022
The basic identification and classification of sedimentary rocks into sandstone and mudstone are important in the study of sedimentology and they are executed by a sedimentologist. However, such manual activity involves countless hours of observation...
Machine Learning Image Processing, Computer-Assisted Deep Learning Image Enhancement
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