AIMC Topic: Image Enhancement
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Enhancing gadoxetic acid-enhanced liver MRI: a synergistic approach with deep learning CAIPIRINHA-VIBE and optimized fat suppression techniques.
European radiology
Mar 16, 2024
OBJECTIVE: To investigate whether a deep learning (DL) controlled aliasing in parallel imaging results in higher acceleration (CAIPIRINHA)-volumetric interpolated breath-hold examination (VIBE) technique can improve image quality, lesion conspicuity,...
Coupling speckle noise suppression with image classification for deep-learning-aided ultrasound diagnosis.
Physics in medicine and biology
Mar 4, 2024
. During deep-learning-aided (DL-aided) ultrasound (US) diagnosis, US image classification is a foundational task. Due to the existence of serious speckle noise in US images, the performance of DL models may be degraded. Pre-denoising US images befor...
Improved 3D DESS MR neurography of the lumbosacral plexus with deep learning and geometric image combination reconstruction.
Skeletal radiology
Feb 22, 2024
OBJECTIVE: To evaluate the impact of deep learning (DL) reconstruction in enhancing image quality and nerve conspicuity in LSP MRN using DESS sequences. Additionally, a geometric image combination (GIC) method to improve DESS signals' combination was...
High-precision retinal blood vessel segmentation based on a multi-stage and dual-channel deep learning network.
Physics in medicine and biology
Feb 5, 2024
The high-precision segmentation of retinal vessels in fundus images is important for the early diagnosis of ophthalmic diseases. However, the extraction for microvessels is challenging due to their characteristics of low contrast and high structural ...
Detection method of organic light-emitting diodes based on small sample deep learning.
PloS one
Feb 5, 2024
In order to solve the surface detection problems of low accuracy, low precision and inability to automate in the production process of late-model display panels, a little sample-based deep learning organic light-emitting diodes detection model SmartM...
Deep learning approach for discrimination of liver lesions using nine time-phase images of contrast-enhanced ultrasound.
Journal of medical ultrasonics (2001)
Dec 5, 2023
PURPOSE: Contrast-enhanced ultrasound (CEUS) shows different enhancement patterns depending on the time after administration of the contrast agent. The aim of this study was to evaluate the diagnostic performance of liver nodule characterization usin...
Deep-learning-based image quality enhancement of CT-like MR imaging in patients with suspected traumatic shoulder injury.
European journal of radiology
Dec 2, 2023
PURPOSE: To evaluate the diagnostic performance of CT-like MR images reconstructed with an algorithm combining compressed sense (CS) with deep learning (DL) in patients with suspected osseous shoulder injury compared to conventional CS-reconstructed ...
Learning to deep learning: statistics and a paradigm test in selecting a UNet architecture to enhance MRI.
Magma (New York, N.Y.)
Nov 21, 2023
OBJECTIVE: This study aims to assess the statistical significance of training parameters in 240 dense UNets (DUNets) used for enhancing low Signal-to-Noise Ratio (SNR) and undersampled MRI in various acquisition protocols. The objective is to determi...
Optimized 3D brachial plexus MR neurography using deep learning reconstruction.
Skeletal radiology
Nov 2, 2023
OBJECTIVE: To evaluate whether 'fast,' unilateral, brachial plexus, 3D magnetic resonance neurography (MRN) acquisitions with deep learning reconstruction (DLR) provide similar image quality to longer, 'standard' scans without DLR.
Artificial intelligence-enabled quantitative phase imaging methods for life sciences.
Nature methods
Oct 23, 2023
Quantitative phase imaging, integrated with artificial intelligence, allows for the rapid and label-free investigation of the physiology and pathology of biological systems. This review presents the principles of various two-dimensional and three-dim...
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