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Deep Learning - AI Medical Compendium

AIMC Topic: Deep Learning

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Deep learning analysis and age prediction from shoeprints.

Forensic science international Aug 30, 2021
Human gaits are the patterns of limb movements which involve both the upper and lower body parts. These patterns in terms of step rate, gait speed, stance widening, stride, and bipedal forces are influenced by different factors including environmenta...
Biometry Shoes Humans Gait Neural Networks, Computer Sex Factors Datasets as Topic Adolescent Aging Child Middle Aged Aged Deep Learning Adult Biomechanical Phenomena
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Deep learning enabled ultra-fast-pitch acquisition in clinical X-ray computed tomography.

Medical physics Aug 30, 2021
OBJECTIVE: In X-raycomputed tomography (CT), many important clinical applications may benefit from a fast acquisition speed. The helical scan is the most widely used acquisition mode in clinical CT, where a fast helical pitch can improve the acquisit...
Image Processing, Computer-Assisted Artifacts Humans Retrospective Studies Neural Networks, Computer Tomography, X-Ray Computed Deep Learning
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Deep learning-based reconstruction of interventional tools and devices from four X-ray projections for tomographic interventional guidance.

Medical physics Aug 30, 2021
PURPOSE: Image guidance for minimally invasive interventions is usually performed by acquiring fluoroscopic images using a monoplanar or a biplanar C-arm system. However, the projective data provide only limited information about the spatial structur...
X-Rays Image Processing, Computer-Assisted Fluoroscopy Phantoms, Imaging Humans Tomography, X-Ray Computed Deep Learning Cone-Beam Computed Tomography
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Automatic breast lesion detection in ultrafast DCE-MRI using deep learning.

Medical physics Aug 30, 2021
PURPOSE: We propose a deep learning-based computer-aided detection (CADe) method to detect breast lesions in ultrafast DCE-MRI sequences. This method uses both the 3D spatial information and temporal information obtained from the early-phase of the d...
Humans Female Magnetic Resonance Imaging Breast Motion Breast Neoplasms Deep Learning Contrast Media
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Deep learning methods to generate synthetic CT from MRI in radiotherapy: A literature review.

Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB) Aug 30, 2021
PURPOSE: In radiotherapy, MRI is used for target volume and organs-at-risk delineation for its superior soft-tissue contrast as compared to CT imaging. However, MRI does not provide the electron density of tissue necessary for dose calculation. Sever...
Radiotherapy Dosage Tomography, X-Ray Computed Deep Learning Magnetic Resonance Imaging Multicenter Studies as Topic Radiotherapy Planning, Computer-Assisted
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Deep Learning-Based High-Frequency Ultrasound Skin Image Classification with Multicriteria Model Evaluation.

Sensors (Basel, Switzerland) Aug 30, 2021
This study presents the first application of convolutional neural networks to high-frequency ultrasound skin image classification. This type of imaging opens up new opportunities in dermatology, showing inflammatory diseases such as atopic dermatitis...
Neural Networks, Computer Reproducibility of Results Deep Learning Ultrasonography Diagnostic Imaging
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Detection of COVID-19 Using Transfer Learning and Grad-CAM Visualization on Indigenously Collected X-ray Dataset.

Sensors (Basel, Switzerland) Aug 29, 2021
The COVID-19 outbreak began in December 2019 and has dreadfully affected our lives since then. More than three million lives have been engulfed by this newest member of the corona virus family. With the emergence of continuously mutating variants of ...
X-Rays COVID-19 SARS-CoV-2 Deep Learning Humans Artificial Intelligence
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Interpretation of Electrocardiogram Heartbeat by CNN and GRU.

Computational and mathematical methods in medicine Aug 29, 2021
The diagnosis of electrocardiogram (ECG) is extremely onerous and inefficient, so it is necessary to use a computer-aided diagnosis of ECG signals. However, it is still a challenging problem to design high-accuracy ECG algorithms suitable for the med...
Wavelet Analysis Deep Learning Heart Rate Electrocardiography Algorithms Wearable Electronic Devices Humans Signal Processing, Computer-Assisted Monitoring, Ambulatory Computational Biology Databases, Factual Neural Networks, Computer Arrhythmias, Cardiac Diagnosis, Computer-Assisted
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Carbon price forecasting using multiscale nonlinear integration model coupled optimal feature reconstruction with biphasic deep learning.

Environmental science and pollution research international Aug 28, 2021
Precise carbon price forecasting matters a lot for both regulators and investors. The improvement of carbon price forecasting can not only provide investors with rational advice but also make for energy conservation and emission reduction. But tradit...
Deep Learning China Carbon Neural Networks, Computer Forecasting
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A Deep Learning-Enabled Electrocardiogram Model for the Identification of a Rare Inherited Arrhythmia: Brugada Syndrome.

The Canadian journal of cardiology Aug 28, 2021
BACKGROUND: Brugada syndrome is a major cause of sudden cardiac death in young people and has distinctive electrocardiographic (ECG) features. We aimed to develop a deep learning-enabled ECG model for automatic screening for Brugada syndrome to ident...
Follow-Up Studies Taiwan Rare Diseases Incidence Electrocardiography Brugada Syndrome Adult Male Middle Aged Diagnosis, Computer-Assisted Deep Learning Adolescent Retrospective Studies Female Young Adult Humans
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