AIMC Topic: Deep Learning

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Deep learning-based recognition model of football player's technical action behavior using PCA-LBP algorithm.

Scientific reports Apr 21, 2025
Football is a sport that requires sportsmen to have both physical strength and physical features. It must consider the distinctions between individuals and then provide targeted training. Football players can perform better on the field with targeted...
Deep Learning Principal Component Analysis Athletic Performance Algorithms Humans Male Athletes Pattern Recognition, Automated Soccer
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Deconvolution of cell types and states in spatial multiomics utilizing TACIT.

Nature communications Apr 21, 2025
Identifying cell types and states remains a time-consuming, error-prone challenge for spatial biology. While deep learning increasingly plays a role, it is difficult to generalize due to variability at the level of cells, neighborhoods, and niches in...
Multiomics Intestines Unsupervised Machine Learning Proteomics Transcriptome Deep Learning Humans Mice Brain Animals Gene Expression Profiling
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Fine extraction of multi-crop planting area based on deep learning with Sentinel- 2 time-series data.

Environmental science and pollution research international Apr 21, 2025
Accurate and timely access to the spatial distribution of crops is crucial for sustainable agricultural development and food security. However, extracting multi-crop areas based on high-resolution time-series data and deep learning still faces challe...
Neural Networks, Computer Agriculture Remote Sensing Technology Deep Learning Crops, Agricultural China
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One for multiple: Physics-informed synthetic data boosts generalizable deep learning for fast MRI reconstruction.

Medical image analysis Apr 20, 2025
Magnetic resonance imaging (MRI) is a widely used radiological modality renowned for its radiation-free, comprehensive insights into the human body, facilitating medical diagnoses. However, the drawback of prolonged scan times hinders its accessibili...
Magnetic Resonance Imaging Humans Deep Learning Artifacts Image Processing, Computer-Assisted
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A Deep Learning Survival Model for Evaluating the Survival Prognosis of Papillary Thyroid Cancer: A Population-Based Cohort Study.

Annals of surgical oncology Apr 20, 2025
BACKGROUND: Deep learning can assess the individual survival prognosis in sizeable datasets with intricate underlying processes. However, studies exploring the performance of deep learning survival in papillary thyroid cancer (PTC) are lacking. This ...
Adult Survival Rate Male Risk Factors Follow-Up Studies Deep Learning Prognosis Aged Humans Thyroid Neoplasms Female SEER Program Middle Aged Thyroid Cancer, Papillary
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Deep-learning-enabled spatial frequency domain imaging of the spatiotemporal dynamics of skin physiology.

Journal of biomedical optics Apr 20, 2025
SIGNIFICANCE: Spatial frequency domain imaging (SFDI) is an emerging optical imaging modality for visualizing tissue absorption and scattering properties. This approach is promising for noninvasive wide field-of-view (FOV) monitoring of biophysiologi...
Hemoglobins Melanins Deep Learning Humans Optical Imaging Skin Physiological Phenomena Image Processing, Computer-Assisted Neural Networks, Computer Skin
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CAD-Unet: A capsule network-enhanced Unet architecture for accurate segmentation of COVID-19 lung infections from CT images.

Medical image analysis Apr 19, 2025
Since the outbreak of the COVID-19 pandemic in 2019, medical imaging has emerged as a primary modality for diagnosing COVID-19 pneumonia. In clinical settings, the segmentation of lung infections from computed tomography images enables rapid and accu...
Humans Tomography, X-Ray Computed SARS-CoV-2 Lung Neural Networks, Computer COVID-19 Deep Learning Radiographic Image Interpretation, Computer-Assisted
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Deep Learning-Based Prediction of Decoy Spectra for False Discovery Rate Estimation in Spectral Library Searching.

Journal of proteome research Apr 19, 2025
With the advantage of extensive coverage, predicted spectral libraries are becoming an attractive alternative in proteomic data analysis. As a popular false discovery rate estimation method, target decoy search has been adopted in library search work...
Databases, Protein Deep Learning Tandem Mass Spectrometry Peptide Library Proteomics
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Construction of a deep learning model and identification of the pivotal characteristics of FGF7- and MGST1- positive fibroblasts in heart failure post-myocardial infarction.

International journal of biological macromolecules Apr 19, 2025
Dysregulation of fibroblast function is closely associated with the occurrence of heart failure after myocardial infarction (post-MI HF). Myocardial fibrosis is a detrimental consequence of aberrant fibroblast activation and extracellular matrix depo...
Gene Expression Regulation Fibroblast Growth Factor 7 Myocardial Infarction Heart Failure Animals Male Mice Fibroblasts Deep Learning Humans
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Advancing harmful algal bloom predictions using chlorophyll-a as an Indicator: Combining deep learning and EnKF data assimilation method.

Journal of environmental management Apr 19, 2025
The use of data driven deep learning models to predict and monitor Harmful Algal Blooms (HABs) has evolved over the years due to increasing technologies, availability of high frequency data, and statistical prowess. Despite the prowess of these data ...
Environmental Monitoring Harmful Algal Bloom Deep Learning Chlorophyll A Chlorophyll
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