AIMC Topic: Deep Learning

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Deep learning-derived cardiovascular age shares a genetic basis with other cardiac phenotypes.

Scientific reports Dec 31, 2022
Artificial intelligence (AI)-based approaches can now use electrocardiograms (ECGs) to provide expert-level performance in detecting heart abnormalities and diagnosing disease. Additionally, patient age predicted from ECGs by AI models has shown grea...
Cardiovascular Diseases Heart Deep Learning Genome-Wide Association Study Humans Artificial Intelligence Phenotype
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A deep learning model based on fusion images of chest radiography and X-ray sponge images supports human visual characteristics of retained surgical items detection.

International journal of computer assisted radiology and surgery Dec 30, 2022
PURPOSE: Although a novel deep learning software was proposed using post-processed images obtained by the fusion between X-ray images of normal post-operative radiography and surgical sponge, the association of the retained surgical item detectabilit...
Humans Deep Learning X-Rays Foreign Bodies Radiography
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Automated MR Image Prescription of the Liver Using Deep Learning: Development, Evaluation, and Prospective Implementation.

Journal of magnetic resonance imaging : JMRI Dec 30, 2022
BACKGROUND: There is an unmet need for fully automated image prescription of the liver to enable efficient, reproducible MRI.
Adult Humans Artificial Intelligence Male Retrospective Studies Magnetic Resonance Imaging Deep Learning Reproducibility of Results Middle Aged Female Image Processing, Computer-Assisted Liver Aged Prospective Studies Image Interpretation, Computer-Assisted
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External Validation of SpineNet, an Open-Source Deep Learning Model for Grading Lumbar Disk Degeneration MRI Features, Using the Northern Finland Birth Cohort 1966.

Spine Dec 30, 2022
STUDY DESIGN: This is a retrospective observational study to externally validate a deep learning image classification model.
Lumbar Vertebrae Intervertebral Disc Degeneration Finland Birth Cohort Low Back Pain Humans Deep Learning Reproducibility of Results Magnetic Resonance Imaging
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A reliable and low-cost deep learning model integrating convolutional neural network and transformer structure for fine-grained classification of chicken Eimeria species.

Poultry science Dec 30, 2022
Chicken coccidiosis is a disease caused by Eimeria spp. and costs the broiler industry more than 14 billion dollars per year globally. Different chicken Eimeria species vary significantly in pathogenicity and virulence, so the classification of diffe...
Deep Learning Chickens Eimeria Neural Networks, Computer Animals Coccidiosis
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Synchronous Medical Image Augmentation framework for deep learning-based image segmentation.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Dec 30, 2022
Various deep learning (DL) models are widely applied in medical image analysis, and their performance depends on the scale and diversity of available training data. However, medical images often suffer from difficulty in data acquisition, imbalance i...
Deep Learning Image Processing, Computer-Assisted
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Identification of light nonaqueous phase liquid groundwater contamination source based on empirical mode decomposition and deep learning.

Environmental science and pollution research international Dec 30, 2022
The simulation optimization method was used to the identification of light nonaqueous phase liquid (LNAPL) groundwater contamination source (GCS) with the help of a hypothetical case in this study. When applying the simulation optimization method to ...
Deep Learning Groundwater Artificial Intelligence Computer Simulation Neural Networks, Computer
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Characteristics of the deep learning-based virtual monochromatic image with fast kilovolt-switching CT: a phantom study.

Radiological physics and technology Dec 30, 2022
PURPOSE: We assessed the physical properties of virtual monochromatic images (VMIs) obtained with different energy levels in various contrast settings and radiation doses using deep learning-based spectral computed tomography (DL-Spectral CT) and com...
Deep Learning Radiographic Image Interpretation, Computer-Assisted Radiation Dosage Retrospective Studies Tomography, X-Ray Computed Signal-To-Noise Ratio Phantoms, Imaging
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Evaluation of deep-learning image reconstruction for chest CT examinations at two different dose levels.

Journal of applied clinical medical physics Dec 30, 2022
AIMS: The aims of the present study were to, for both a full-dose protocol and an ultra-low dose (ULD) protocol, compare the image quality of chest CT examinations reconstructed using TrueFidelity (Standard kernel) with corresponding examinations rec...
Humans Algorithms Tomography, X-Ray Computed Radiographic Image Interpretation, Computer-Assisted Radiation Dosage Deep Learning Image Processing, Computer-Assisted
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Comparison of image quality and pancreatic ductal adenocarcinoma conspicuity between the low-kVp and dual-energy CT reconstructed with deep-learning image reconstruction algorithm.

European journal of radiology Dec 30, 2022
PURPOSE: To compare the image quality and conspicuity of pancreatic ductal adenocarcinoma (PDAC) between the low-kVp and dual-energy pancreatic protocol CT reconstructed with deep-learning image reconstruction (DLIR).
Contrast Media Pancreatic Neoplasms Carcinoma, Pancreatic Ductal Signal-To-Noise Ratio Algorithms Radiographic Image Interpretation, Computer-Assisted Deep Learning Humans Retrospective Studies Image Processing, Computer-Assisted Tomography, X-Ray Computed Aged Male
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