AIMC Topic: Neural Networks, Computer

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Super-resolution of 3D medical images by generative adversarial networks with long and short-term memory and attention.

Scientific reports Jul 1, 2025
Since 3D medical imaging data is a string of sequential images, there is a strong correlation between consecutive images. Deep convolutional networks perform well in extracting spatial features, but are less capable for processing sequence data compa...
Memory, Short-Term Algorithms Humans Generative Adversarial Networks Attention Neural Networks, Computer Imaging, Three-Dimensional Image Processing, Computer-Assisted
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A fake news detection model using the integration of multimodal attention mechanism and residual convolutional network.

Scientific reports Jul 1, 2025
To improve the accuracy and efficiency of fake news detection, this study proposes a deep learning model that integrates residual networks with attention mechanisms. Building on traditional convolutional neural networks, the model incorporates multi-...
Attention Deep Learning Humans Social Media Neural Networks, Computer
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Innovative deep learning classifiers for breast cancer detection through hybrid feature extraction techniques.

Scientific reports Jul 1, 2025
Breast cancer remains a major cause of mortality among women, where early and accurate detection is critical to improving survival rates. This study presents a hybrid classification approach for mammogram analysis by combining handcrafted statistical...
Humans Early Detection of Cancer Neural Networks, Computer Breast Neoplasms Mammography Algorithms Female Deep Learning Image Processing, Computer-Assisted
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Attention residual network for medical ultrasound image segmentation.

Scientific reports Jul 1, 2025
Ultrasound imaging can distinctly display the morphology and structure of internal organs within the human body, enabling the examination of organs like the breast, liver, and thyroid. It can identify the locations of tumors, nodules, and other lesio...
Deep Learning Ultrasonography Image Processing, Computer-Assisted Humans Neural Networks, Computer Algorithms
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A deep convolutional neural network-based novel class balancing for imbalance data segmentation.

Scientific reports Jul 1, 2025
Retinal fundus images provide valuable insights into the human eye's interior structure and crucial features, such as blood vessels, optic disk, macula, and fovea. However, accurate segmentation of retinal blood vessels can be challenging due to imba...
Humans Neural Networks, Computer Retinal Vessels Convolutional Neural Networks Algorithms Image Processing, Computer-Assisted Deep Learning Fundus Oculi
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Improved convolutional neural network for precise exercise posture recognition and intelligent health indicator prediction.

Scientific reports Jul 1, 2025
This paper presents a novel framework for accurate exercise posture recognition and health indicator prediction based on improved convolutional neural networks. We propose a multi-scale feature fusion architecture incorporating spatiotemporal attenti...
Posture Cardiorespiratory Fitness Exercise Convolutional Neural Networks Humans Neural Networks, Computer Adult Male Female
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Machine learning-assisted decoding of temporal transcriptional dynamics via fluorescent timer.

Nature communications Jul 1, 2025
Investigating the temporal dynamics of gene expression is crucial for understanding gene regulation across various biological processes. Using the Fluorescent Timer protein, the Timer-of-cell-kinetics-and-activity system enables analysis of transcrip...
Forkhead Transcription Factors T-Lymphocytes, Regulatory Gene Expression Regulation CRISPR-Cas Systems Flow Cytometry Genes, Reporter Transcription, Genetic Enhancer Elements, Genetic Spleen Machine Learning Animals Mice Mice, Inbred C57BL Single-Cell Analysis Neural Networks, Computer
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Mitigating data bias and ensuring reliable evaluation of AI models with shortcut hull learning.

Nature communications Jul 1, 2025
Shortcut learning poses a significant challenge to both the interpretability and robustness of artificial intelligence, arising from dataset biases that lead models to exploit unintended correlations, or shortcuts, which undermine performance evaluat...
Humans Neural Networks, Computer Reproducibility of Results Artificial Intelligence Deep Learning Algorithms Bias
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Stable recurrent dynamics in heterogeneous neuromorphic computing systems using excitatory and inhibitory plasticity.

Nature communications Jul 1, 2025
Many neural computations emerge from self-sustained patterns of activity in recurrent neural circuits, which rely on balanced excitation and inhibition. Neuromorphic electronic circuits represent a promising approach for implementing the brain's comp...
Neurons Nerve Net Models, Neurological Action Potentials Humans Animals Brain Neural Networks, Computer Neuronal Plasticity
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Hybrid transfer learning and self-attention framework for robust MRI-based brain tumor classification.

Scientific reports Jul 1, 2025
Brain tumors are a significant contributor to cancer-related deaths worldwide. Accurate and prompt detection is crucial to reduce mortality rates and improve patient survival prospects. Magnetic Resonance Imaging (MRI) is crucial for diagnosis, but m...
Humans Deep Learning Magnetic Resonance Imaging Image Interpretation, Computer-Assisted Brain Neoplasms Diagnosis, Computer-Assisted Neural Networks, Computer
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