AIMC Topic: Algorithms

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A Deep Learning Approach for Nerve Injury Classification in Brachial Plexopathies Using Magnetic Resonance Neurography with Modified Hiking Optimization Algorithm.

Academic radiology Apr 28, 2025
RATIONALE AND OBJECTIVES: Brachial plexopathies (BPs) encompass a complex spectrum of nerve injuries affecting motor and sensory function in the upper extremities. Diagnosis is challenging due to the intricate anatomy and symptom overlap with other n...
Peripheral Nerve Injuries Adult Brachial Plexus Brachial Plexus Neuropathies Male Middle Aged Humans Deep Learning Algorithms Magnetic Resonance Imaging Female Image Interpretation, Computer-Assisted
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Impact of fine-tuning parameters of convolutional neural network for skin cancer detection.

Scientific reports Apr 28, 2025
Melanoma skin cancer is a deadly disease with a high mortality rate. A prompt diagnosis can aid in the treatment of the disease and potentially save the patient's life. Artificial intelligence methods can help diagnose cancer at a rapid speed. The li...
Machine Learning Skin Neoplasms Convolutional Neural Networks Algorithms Melanoma Humans Deep Learning Neural Networks, Computer
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Unlocking the soundscape of coral reefs with artificial intelligence: pretrained networks and unsupervised learning win out.

PLoS computational biology Apr 28, 2025
Passive acoustic monitoring can offer insights into the state of coral reef ecosystems at low-costs and over extended temporal periods. Comparison of whole soundscape properties can rapidly deliver broad insights from acoustic data, in contrast to de...
Animals Ecosystem Computational Biology Machine Learning Algorithms Fishes Coral Reefs Environmental Monitoring Neural Networks, Computer Unsupervised Machine Learning Artificial Intelligence Acoustics
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A novel diagnosis method utilizing MDBO-SVM and imaging genetics for Alzheimer's disease.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Apr 27, 2025
Alzheimer's disease (AD) is the most common neurodegenerative disorder, yet its underlying mechanisms remain elusive. Early and accurate diagnosis is crucial for timely intervention and disease management. In this paper, a multi-strategy improved dun...
Cognitive Dysfunction Support Vector Machine Alzheimer Disease Aged Male Image Interpretation, Computer-Assisted Humans Algorithms Female
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CUAMT: A MRI semi-supervised medical image segmentation framework based on contextual information and mixed uncertainty.

Computer methods and programs in biomedicine Apr 27, 2025
BACKGROUND AND OBJECTIVE: Semi-supervised medical image segmentation is a class of machine learning paradigms for segmentation model training and inference using both labeled and unlabeled medical images, which can effectively reduce the data labelin...
Algorithms Brain Neoplasms Image Processing, Computer-Assisted Humans Machine Learning Magnetic Resonance Imaging Uncertainty
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ExpoPath: A method for identifying and annotating exposure pathways from chemical co-occurrence networks.

The Science of the total environment Apr 27, 2025
Improving risk evaluation for environmental and human health is of paramount concern for the U.S. Environmental Protection Agency (EPA). This includes the identification and assessment of chemical transport from commercial and industrial sources to e...
Risk Assessment United States Environmental Monitoring Environmental Pollutants Environmental Exposure Humans United States Environmental Protection Agency Machine Learning Algorithms
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Machine Learning-Enhanced Optimization for High-Throughput Precision in Cellular Droplet Bioprinting.

Advanced science (Weinheim, Baden-Wurttemberg, Germany) Apr 27, 2025
Organoids produce through traditional manual pipetting methods face challenges such as labor-intensive procedures and batch-to-batch variability in quality. To ensure consistent organoid production, 3D bioprinting platforms offer a more efficient alt...
Humans Printing, Three-Dimensional Machine Learning Bioprinting Algorithms Organoids
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Integrating attention networks into a hybrid model for HER2 status prediction in breast cancer.

Biochemical and biophysical research communications Apr 26, 2025
Breast cancer is one of the most prevalent cancers amongst women, caused by uncontrolled cell growth in breast tissue. Human Epidermal growth factor Receptor 2 (HER2) proteins play a vital role in regulating normal breast cell development and divisio...
Image Processing, Computer-Assisted Receptor, ErbB-2 Algorithms Female Breast Neoplasms Humans Neural Networks, Computer
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General retinal image enhancement via reconstruction: Bridging distribution shifts using latent diffusion adaptors.

Medical image analysis Apr 26, 2025
Deep learning-based fundus image enhancement has attracted extensive research attention recently, which has shown remarkable effectiveness in improving the visibility of low-quality images. However, these methods are often constrained to specific dat...
Humans Algorithms Retina Image Interpretation, Computer-Assisted Image Enhancement Deep Learning Image Processing, Computer-Assisted Fundus Oculi
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GINClus: RNA structural motif clustering using graph isomorphism network.

NAR genomics and bioinformatics Apr 26, 2025
Ribonucleic acid (RNA) structural motif identification is a crucial step for understanding RNA structure and functionality. Due to the complexity and variations of RNA 3D structures, identifying RNA structural motifs is challenging and time-consuming...
Software Algorithms Deep Learning Cluster Analysis RNA Nucleic Acid Conformation Nucleotide Motifs
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