AIMC Topic: Algorithms

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Self-organizing maps for exploration and classification of nuclear magnetic resonance spectra for untargeted metabolomics of breast cancer.

Journal of pharmaceutical and biomedical analysis Jul 21, 2024
Metabolomics has emerged as a powerful tool for identifying biomarkers of disease, and nuclear magnetic resonance (NMR) spectroscopy allows for the simultaneous detection of a wide range of metabolites. However, due to complex interactions within met...
Proton Magnetic Resonance Spectroscopy Metabolomics Magnetic Resonance Spectroscopy Adult Sensitivity and Specificity Breast Neoplasms Biomarkers, Tumor Middle Aged Case-Control Studies Neural Networks, Computer Algorithms Female Humans
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δ-Conotoxin Structure Prediction and Analysis through Large-Scale Comparative and Deep Learning Modeling Approaches.

Advanced science (Weinheim, Baden-Wurttemberg, Germany) Jul 21, 2024
The δ-conotoxins, a class of peptides produced in the venom of cone snails, are of interest due to their ability to inhibit the inactivation of voltage-gated sodium channels causing paralysis and other neurological responses, but difficulties in thei...
Conotoxins Conus Snail Deep Learning Models, Molecular Algorithms Animals
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Deep learning image reconstruction for low-kiloelectron volt virtual monoenergetic images in abdominal dual-energy CT: medium strength provides higher lesion conspicuity.

Acta radiologica (Stockholm, Sweden : 1987) Jul 21, 2024
BACKGROUND: The best settings of deep learning image reconstruction (DLIR) algorithm for abdominal low-kiloelectron volt (keV) virtual monoenergetic imaging (VMI) have not been determined.
Humans Female Aged Aged, 80 and over Algorithms Retrospective Studies Tomography, X-Ray Computed Radiographic Image Interpretation, Computer-Assisted Signal-To-Noise Ratio Radiography, Abdominal Radiography, Dual-Energy Scanned Projection Middle Aged Adult Deep Learning Image Processing, Computer-Assisted Male
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PMTPred: machine-learning-based prediction of protein methyltransferases using the composition of k-spaced amino acid pairs.

Molecular diversity Jul 21, 2024
Protein methyltransferases (PMTs) are a group of enzymes that help catalyze the transfer of a methyl group to its substrates. These enzymes play an important role in epigenetic regulation and can methylate various substrates with DNA, RNA, protein, a...
Amino Acids Methyltransferases Computational Biology Support Vector Machine Machine Learning Algorithms
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DECNet: Dense embedding contrast for unsupervised semantic segmentation.

Neural networks : the official journal of the International Neural Network Society Jul 20, 2024
Unsupervised semantic segmentation is important for understanding that each pixel belongs to known categories without annotation. Recent studies have demonstrated promising outcomes by employing a vision transformer backbone pre-trained on an image-l...
Semantics Algorithms Humans Image Processing, Computer-Assisted Unsupervised Machine Learning Neural Networks, Computer
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A Multi-Group Multi-Stream attribute Attention network for fine-grained zero-shot learning.

Neural networks : the official journal of the International Neural Network Society Jul 20, 2024
Fine-grained visual categorization in zero-shot setting is a challenging problem in the computer vision community. It requires algorithms to accurately identify fine-grained categories that do not appear during the training phase and have high visual...
Attention Humans Visual Perception Neural Networks, Computer Machine Learning Algorithms
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Robust visual question answering via polarity enhancement and contrast.

Neural networks : the official journal of the International Neural Network Society Jul 20, 2024
The Visual Question Answering (VQA) task is an important research direction in the field of artificial intelligence, which requires a model that can simultaneously understand visual images and natural language questions, and answer questions related ...
Humans Neural Networks, Computer Artificial Intelligence Algorithms Language Natural Language Processing Attention Visual Perception
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Comparative evaluation of image-based vs. text-based vs. multimodal AI approaches for automatic breast density assessment in mammograms.

Computer methods and programs in biomedicine Jul 20, 2024
BACKGROUND AND OBJECTIVES: In the last decade, there has been a growing interest in applying artificial intelligence (AI) systems to breast cancer assessment, including breast density evaluation. However, few models have been developed to integrate t...
Image Processing, Computer-Assisted Mammography Natural Language Processing Radiographic Image Interpretation, Computer-Assisted Breast Datasets as Topic Algorithms Female Reproducibility of Results Artificial Intelligence Software Breast Density Humans
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Use of Artificial Intelligence Including Multimodal Systems to Improve the Management of Cardiovascular Disease.

The Canadian journal of cardiology Jul 20, 2024
The rising prevalence of cardiovascular disease presents an escalating challenge for current health services, which are grappling with increasing demands. Innovative changes are imperative to sustain the delivery of high-quality patient care. Recent ...
Algorithms Cardiovascular Diseases Disease Management Humans Artificial Intelligence
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Solving water scarcity challenges in arid regions: A novel approach employing human-based meta-heuristics and machine learning algorithm for groundwater potential mapping.

Chemosphere Jul 20, 2024
Addressing water scarcity challenges in arid regions is a pressing concern and demands innovative solutions for accurate groundwater potential mapping (GPM). This study presents a comprehensive evaluation of advanced modeling techniques to enhance th...
Humans Iran Water Supply Computer Heuristics Machine Learning Algorithms Groundwater
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