AIMC Topic: Neural Networks, Computer

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Artificial Neural Network analysis on the effect of mixed convection in triangular-shaped geometry using water-based Al2O3 nanofluid.

PloS one Sep 13, 2024
The objective of the study is to investigate the fluid flow and heat transfer characteristics applying Artificial Neural Networks (ANN) analysis in triangular-shaped cavities for the analysis of magnetohydrodynamics (MHD) mixed convection with varyin...
Convection Hydrodynamics Finite Element Analysis Aluminum Oxide Neural Networks, Computer Water
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Automated Three-Dimensional Imaging and Pfirrmann Classification of Intervertebral Disc Using a Graphical Neural Network in Sagittal Magnetic Resonance Imaging of the Lumbar Spine.

Journal of imaging informatics in medicine Sep 12, 2024
This study aimed to develop a graph neural network (GNN) for automated three-dimensional (3D) magnetic resonance imaging (MRI) visualization and Pfirrmann grading of intervertebral discs (IVDs), and benchmark it against manual classifications. Lumbar...
Intervertebral Disc Humans Lumbar Vertebrae Neural Networks, Computer Intervertebral Disc Degeneration Adult Male Imaging, Three-Dimensional Magnetic Resonance Imaging Middle Aged Reproducibility of Results Aged Young Adult Retrospective Studies Female
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Deep Learning for Automated Classification of Hip Hardware on Radiographs.

Journal of imaging informatics in medicine Sep 12, 2024
PURPOSE: To develop a deep learning model for automated classification of orthopedic hardware on pelvic and hip radiographs, which can be clinically implemented to decrease radiologist workload and improve consistency among radiology reports.
Hip Hip Prosthesis Hip Joint Arthroplasty, Replacement, Hip Retrospective Studies Female Deep Learning Radiography Male Humans Neural Networks, Computer
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Convolutional Neural Networks for Segmentation of Pleural Mesothelioma: Analysis of Probability Map Thresholds (CALGB 30901, Alliance).

Journal of imaging informatics in medicine Sep 12, 2024
The purpose of this study was to evaluate the impact of probability map threshold on pleural mesothelioma (PM) tumor delineations generated using a convolutional neural network (CNN). One hundred eighty-six CT scans from 48 PM patients were segmented...
Humans Female Aged Male Neural Networks, Computer Tomography, X-Ray Computed Probability Tumor Burden Middle Aged Mesothelioma Radiographic Image Interpretation, Computer-Assisted Convolutional Neural Networks Pleural Neoplasms
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Multitype view of knowledge contrastive learning for recommendation.

Neural networks : the official journal of the International Neural Network Society Sep 12, 2024
Graph Neural Networks (GNNs) are playing an increasingly vital role in the field of recommender systems. To improve knowledge perception within GNNs, contrastive learning has been applied and has proven to be highly effective. GNNs have the ability t...
Knowledge Humans Machine Learning Neural Networks, Computer Algorithms
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Skeleton-guided 3D convolutional neural network for tubular structure segmentation.

International journal of computer assisted radiology and surgery Sep 12, 2024
PURPOSE: Accurate segmentation of tubular structures is crucial for clinical diagnosis and treatment but is challenging due to their complex branching structures and volume imbalance. The purpose of this study is to propose a 3D deep learning network...
Imaging, Three-Dimensional Radiographic Image Interpretation, Computer-Assisted Deep Learning Convolutional Neural Networks Humans Neural Networks, Computer Tomography, X-Ray Computed
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Environmentally Sustainable Detection of Arsenic using Convolutional Neural Networks and Imidazole-Based Organic Probes: Application in Food Samples and Arsenic Album.

Chemical research in toxicology Sep 12, 2024
Arsenic contamination poses a significant health risk, particularly when it infiltrates water supplies. While current detection methods offer precise analysis, they often involve complex instrumentation not suitable for field use. This study presents...
Neural Networks, Computer Imidazoles Molecular Structure Arsenic Food Contamination Food Analysis Colorimetry
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Object and spatial discrimination makes weakly supervised local feature better.

Neural networks : the official journal of the International Neural Network Society Sep 12, 2024
Local feature extraction plays a crucial role in numerous critical visual tasks. However, there remains room for improvement in both descriptors and keypoints, particularly regarding the discriminative power of descriptors and the localization precis...
Pattern Recognition, Automated Humans Algorithms Space Perception Supervised Machine Learning Neural Networks, Computer
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How adversarial attacks can disrupt seemingly stable accurate classifiers.

Neural networks : the official journal of the International Neural Network Society Sep 12, 2024
Adversarial attacks dramatically change the output of an otherwise accurate learning system using a seemingly inconsequential modification to a piece of input data. Paradoxically, empirical evidence indicates that even systems which are robust to lar...
Algorithms Humans Neural Networks, Computer Machine Learning
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Illumination-aware divide-and-conquer network for improperly-exposed image enhancement.

Neural networks : the official journal of the International Neural Network Society Sep 12, 2024
Improperly-exposed images often have unsatisfactory visual characteristics like inadequate illumination, low contrast, and the loss of small structures and details. The mapping relationship from an improperly-exposed condition to a well-exposed one m...
Lighting Image Enhancement Wavelet Analysis Neural Networks, Computer Algorithms Image Processing, Computer-Assisted Humans
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