AIMC Topic: Algorithms

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Comparison between two artificial intelligence models to discriminate cancerous cell nuclei based on confocal fluorescence imaging in hepatocellular carcinoma.

Digestive and liver disease : official journal of the Italian Society of Gastroenterology and the Italian Association for the Study of the Liver Dec 13, 2024
BACKGROUND: Hepatocellular carcinoma (HCC) exhibits an exceptional intratumoral heterogeneity that might influence diagnosis and outcome. Advances in digital microscopy and artificial intelligence (AI) may improve the HCC identification of liver canc...
Machine Learning Algorithms Deep Learning Humans Artificial Intelligence Microscopy, Confocal Cell Nucleus Liver Neoplasms Carcinoma, Hepatocellular
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Enhancing space-time video super-resolution via spatial-temporal feature interaction.

Neural networks : the official journal of the International Neural Network Society Dec 13, 2024
The target of space-time video super-resolution (STVSR) is to increase both the frame rate (also referred to as the temporal resolution) and the spatial resolution of a given video. Recent approaches solve STVSR using end-to-end deep neural networks....
Neural Networks, Computer Algorithms Deep Learning Time Factors Humans Image Processing, Computer-Assisted Video Recording
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A universal network strategy for lightspeed computation of entropy-regularized optimal transport.

Neural networks : the official journal of the International Neural Network Society Dec 13, 2024
Optimal transport (OT) is an effective tool for measuring discrepancies in probability distributions and histograms of features. To reduce its high computational complexity, entropy-regularized OT is proposed, which is computed through Sinkhorn algor...
Algorithms Computer Simulation Entropy Humans Neural Networks, Computer
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Rethinking the optimization objective for transferable adversarial examples from a fuzzy perspective.

Neural networks : the official journal of the International Neural Network Society Dec 13, 2024
Transferable adversarial examples, which are generated by transfer-based attacks, have strong adaptability for attacking a completely unfamiliar victim model without knowing its architecture, parameters and outputs. While current transfer-based attac...
Fuzzy Logic Humans Neural Networks, Computer Algorithms
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Conditional generative diffusion deep learning for accelerated diffusion tensor and kurtosis imaging.

Magnetic resonance imaging Dec 13, 2024
PURPOSE: The purpose of this study was to develop DiffDL, a generative diffusion probabilistic model designed to produce high-quality diffusion tensor imaging (DTI) and diffusion kurtosis imaging (DKI) metrics from a reduced set of diffusion-weighted...
Anisotropy Diffusion Magnetic Resonance Imaging Connectome Diffusion Tensor Imaging Adult Male Deep Learning Brain Image Processing, Computer-Assisted Female Image Interpretation, Computer-Assisted Reproducibility of Results Signal-To-Noise Ratio Humans Algorithms
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CMFNet: a cross-dimensional modal fusion network for accurate vessel segmentation based on OCTA data.

Medical & biological engineering & computing Dec 13, 2024
Optical coherence tomography angiography (OCTA) is a novel non-invasive retinal vessel imaging technique that can display high-resolution 3D vessel structures. The quantitative analysis of retinal vessel morphology plays an important role in the auto...
Retinal Vessels Neural Networks, Computer Algorithms Imaging, Three-Dimensional Humans Image Processing, Computer-Assisted Tomography, Optical Coherence Angiography
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Diagnosis of Fibrotic Interstitial Lung Diseases Based on the Combination of Label-Free Quantitative Multiphoton Fiber Histology and Machine Learning.

Laboratory investigation; a journal of technical methods and pathology Dec 13, 2024
Interstitial lung disease (ILD), characterized by inflammation and fibrosis, often suffers from low diagnostic accuracy and consistency. Traditional hematoxylin and eosin (H&E) staining primarily reveals cellular inflammation with limited detail on f...
Middle Aged Lung Lung Diseases, Interstitial Collagen Microscopy, Fluorescence, Multiphoton Elastin Aged Adult Humans Male Machine Learning Algorithms Female
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Fuzzy-Based Identification of Transition Cells to Infer Cell Trajectory for Single-Cell Transcriptomics.

Journal of computational biology : a journal of computational molecular cell biology Dec 13, 2024
With the continuous evolution of single-cell RNA sequencing technology, it has become feasible to reconstruct cell development processes using computational methods. Trajectory inference is a crucial downstream analytical task that provides valuable ...
Computer Simulation Gene Expression Profiling Humans Transcriptome Algorithms Fuzzy Logic Cluster Analysis Single-Cell Analysis Cell Differentiation Computational Biology Sequence Analysis, RNA
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A web-based tool for cancer risk prediction for middle-aged and elderly adults using machine learning algorithms and self-reported questions.

Annals of epidemiology Dec 13, 2024
BACKGROUND: From a global perspective, China is one of the countries with higher incidence and mortality rates for cancer.
China Longitudinal Studies Internet Risk Assessment Neoplasms Self Report Machine Learning Algorithms Female Aged Male Middle Aged Humans
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Machine Learning Techniques for Sensor-Based Human Activity Recognition with Data Heterogeneity-A Review.

Sensors (Basel, Switzerland) Dec 13, 2024
Sensor-based Human Activity Recognition (HAR) is crucial in ubiquitous computing, analyzing behaviors through multi-dimensional observations. Despite research progress, HAR confronts challenges, particularly in data distribution assumptions. Most stu...
Algorithms Humans Human Activities Machine Learning
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