AIMC Topic: Neural Networks, Computer

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Deep Siamese domain adaptation convolutional neural network-based quaternion fractional order Meixner moments fostered big data analytical method for enhancing cloud data security.

Network (Bristol, England) Jun 11, 2024
In this paper, Quaternion Fractional Order Meixner Moments-based Deep Siamese Domain Adaptation Convolutional Neural Network-based Big Data Analytical Technique is proposed for improving Cloud Data Security (DSDA-CNN-QFOMM-BD-CDS). The proposed metho...
Humans Big Data Computer Security Cloud Computing Neural Networks, Computer Convolutional Neural Networks
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Histological Subtype Classification of Non-Small Cell Lung Cancer with Radiomics and 3D Convolutional Neural Networks.

Journal of imaging informatics in medicine Jun 11, 2024
Non-small cell lung carcinoma (NSCLC) is the most common type of pulmonary cancer, one of the deadliest malignant tumors worldwide. Given the increased emphasis on the precise management of lung cancer, identifying various subtypes of NSCLC has becom...
Lung Neoplasms Carcinoma, Non-Small-Cell Lung Deep Learning Imaging, Three-Dimensional Humans Tomography, X-Ray Computed Radiomics Neural Networks, Computer
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Advancing neural network calibration: The role of gradient decay in large-margin Softmax optimization.

Neural networks : the official journal of the International Neural Network Society Jun 11, 2024
This study introduces a novel hyperparameter in the Softmax function to regulate the rate of gradient decay, which is dependent on sample probability. Our theoretical and empirical analyses reveal that both model generalization and calibration are si...
Probability Neural Networks, Computer Calibration Machine Learning Humans Algorithms
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Accurate classification of glomerular diseases by hyperspectral imaging and transformer.

Computer methods and programs in biomedicine Jun 11, 2024
BACKGROUND AND OBJECTIVE: In renal disease research, precise glomerular disease diagnosis is crucial for treatment and prognosis. Currently reliant on invasive biopsies, this method bears risks and pathologist-dependent variability, yielding inconsis...
Kidney Diseases Algorithms Kidney Glomerulus Hyperspectral Imaging Humans Image Processing, Computer-Assisted Neural Networks, Computer
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URCA: Uncertainty-based region clipping algorithm for semi-supervised medical image segmentation.

Computer methods and programs in biomedicine Jun 11, 2024
BACKGROUND AND OBJECTIVE: Training convolutional neural networks based on large amount of labeled data has made great progress in the field of image segmentation. However, in medical image segmentation tasks, annotating the data is expensive and time...
Brain Neoplasms Image Processing, Computer-Assisted Supervised Machine Learning Monte Carlo Method Magnetic Resonance Imaging Humans Uncertainty Neural Networks, Computer Algorithms
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LCADNet: a novel light CNN architecture for EEG-based Alzheimer disease detection.

Physical and engineering sciences in medicine Jun 11, 2024
Alzheimer's disease (AD) is a progressive and incurable neurologi-cal disorder with a rising mortality rate, worsened by error-prone, time-intensive, and expensive clinical diagnosis methods. Automatic AD detection methods using hand-crafted Electroe...
Signal Processing, Computer-Assisted Alzheimer Disease Algorithms Electroencephalography Humans Neural Networks, Computer
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A virtual rodent predicts the structure of neural activity across behaviours.

Nature Jun 11, 2024
Animals have exquisite control of their bodies, allowing them to perform a diverse range of behaviours. How such control is implemented by the brain, however, remains unclear. Advancing our understanding requires models that can relate principles of ...
Neural Networks, Computer Deep Learning Virtual Reality Rats Female Animals Sensorimotor Cortex Movement Motor Cortex Models, Neurological Rats, Long-Evans Behavior, Animal
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SEP-AlgPro: An efficient allergen prediction tool utilizing traditional machine learning and deep learning techniques with protein language model features.

International journal of biological macromolecules Jun 11, 2024
Allergy is a hypersensitive condition in which individuals develop objective symptoms when exposed to harmless substances at a dose that would cause no harm to a "normal" person. Most current computational methods for allergen identification rely on ...
Deep Learning Neural Networks, Computer Computational Biology Machine Learning Humans Software Allergens
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Deep-learning-enabled antibiotic discovery through molecular de-extinction.

Nature biomedical engineering Jun 11, 2024
Molecular de-extinction aims at resurrecting molecules to solve antibiotic resistance and other present-day biological and biomedical problems. Here we show that deep learning can be used to mine the proteomes of all available extinct organisms for t...
Proteome Antimicrobial Peptides Microbial Sensitivity Tests Mice Neural Networks, Computer Anti-Bacterial Agents Drug Discovery Animals Deep Learning
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Enhancing Histopathological Image Classification Performance through Synthetic Data Generation with Generative Adversarial Networks.

Sensors (Basel, Switzerland) Jun 11, 2024
Breast cancer is the second most common cancer worldwide, primarily affecting women, while histopathological image analysis is one of the possibile methods used to determine tumor malignancy. Regarding image analysis, the application of deep learning...
Breast Neoplasms Humans Algorithms Deep Learning Neural Networks, Computer Female Image Interpretation, Computer-Assisted Image Processing, Computer-Assisted
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