AIMC Topic: Magnetic Resonance Imaging

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A novel scaled-gamma-tanh (SGT) activation function in 3D CNN applied for MRI classification.

Scientific reports Sep 2, 2022
Activation functions in the neural network are responsible for 'firing' the nodes in it. In a deep neural network they 'activate' the features to reduce feature redundancy and learn the complex pattern by adding non-linearity in the network to learn ...
Deep Learning Magnetic Resonance Imaging Neural Networks, Computer
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Detection Method of Athlete Joint Injury Based on Deep Learning Model.

Computational and mathematical methods in medicine Sep 2, 2022
The research on accurate and intelligent segmentation of knee joint MRI images is of great significance to reduce the work intensity of clinical doctors and nurses. In order to solve the problem that knee joint MRI image segmentation model needs a la...
Athletes Image Processing, Computer-Assisted Humans Magnetic Resonance Imaging Neural Networks, Computer Deep Learning
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Radiomics and Deep Learning for Disease Detection in Musculoskeletal Radiology: An Overview of Novel MRI- and CT-Based Approaches.

Investigative radiology Sep 1, 2022
Radiomics and machine learning-based methods offer exciting opportunities for improving diagnostic performance and efficiency in musculoskeletal radiology for various tasks, including acute injuries, chronic conditions, spinal abnormalities, and neop...
Deep Learning Magnetic Resonance Imaging Retrospective Studies Tomography, X-Ray Computed Machine Learning Radiography
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Deep Learning-Based Automatic Detection and Grading of Motion-Related Artifacts on Gadoxetic Acid-Enhanced Liver MRI.

Investigative radiology Aug 31, 2022
OBJECTIVES: The aim of this study was to develop and validate a deep learning-based algorithm (DLA) for automatic detection and grading of motion-related artifacts on arterial phase liver magnetic resonance imaging (MRI).
Humans Magnetic Resonance Imaging Liver Retrospective Studies Aged Artifacts Deep Learning Male Gadolinium DTPA Contrast Media Middle Aged
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Artificial intelligence in multiparametric magnetic resonance imaging: A review.

Medical physics Aug 31, 2022
Multiparametric magnetic resonance imaging (mpMRI) is an indispensable tool in the clinical workflow for the diagnosis and treatment planning of various diseases. Machine learning-based artificial intelligence (AI) methods, especially those adopting ...
Humans Artificial Intelligence Magnetic Resonance Imaging Machine Learning Magnetic Resonance Spectroscopy Reproducibility of Results
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Deformation-Compensated Learning for Image Reconstruction Without Ground Truth.

IEEE transactions on medical imaging Aug 31, 2022
Deep neural networks for medical image reconstruction are traditionally trained using high-quality ground-truth images as training targets. Recent work on Noise2Noise (N2N) has shown the potential of using multiple noisy measurements of the same obje...
Neural Networks, Computer Image Processing, Computer-Assisted Magnetic Resonance Imaging
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Deep Learning Reconstruction Algorithm-Based MRI Image Evaluation of Edaravone in the Treatment of Lower Limb Ischemia-Reperfusion Injury.

Contrast media & molecular imaging Aug 31, 2022
This research aimed to evaluate the therapeutic effect of edaravone on lower limb ischemia-reperfusion injury by MRI images of graph patch-based directional curvelet transform (GPBDCT), compression reconstruction algorithm. 200 patients with lower li...
Edaravone Magnetic Resonance Imaging Lower Extremity Algorithms Humans Reperfusion Injury Deep Learning Proto-Oncogene Proteins c-bcl-2
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Breast MRI Tumor Automatic Segmentation and Triple-Negative Breast Cancer Discrimination Algorithm Based on Deep Learning.

Computational and mathematical methods in medicine Aug 31, 2022
BACKGROUND: Breast cancer is a kind of cancer that starts in the epithelial tissue of the breast. Breast cancer has been on the rise in recent years, with a younger generation developing the disease. Magnetic resonance imaging (MRI) plays an importan...
Neural Networks, Computer Algorithms Humans Magnetic Resonance Imaging Deep Learning Triple Negative Breast Neoplasms
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Magnetic resonance imaging image analysis of the therapeutic effect and neuroprotective effect of deep brain stimulation in Parkinson's disease based on a deep learning algorithm.

International journal for numerical methods in biomedical engineering Aug 30, 2022
In order to study the therapeutic neuroprotective effect of deep brain stimulation (DBS) in Parkinson's disease (PD), based on the deep learning algorithm, this study combines with magnetic resonance imaging (MRI) image analysis technology to study t...
Magnetic Resonance Imaging Neuroprotective Agents Parkinson Disease Deep Brain Stimulation Deep Learning Treatment Outcome Humans
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Natural Language Processing in Spine Surgery: A Systematic Review of Applications, Bias, and Reporting Transparency.

World neurosurgery Aug 30, 2022
BACKGROUND: Natural language processing (NLP) is a discipline of machine learning concerned with the analysis of language and text. Although NLP has been applied to various forms of clinical text, the applications and utility of NLP in spine surgery ...
Natural Language Processing Radiography Humans Magnetic Resonance Imaging PubMed Scoliosis
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