AIMC Topic: Convolutional Neural Networks

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Ultrasound-based classification of follicular thyroid Cancer using deep convolutional neural networks with transfer learning.

Scientific reports Jul 1, 2025
This study aimed to develop and validate convolutional neural network (CNN) models for distinguishing follicular thyroid carcinoma (FTC) from follicular thyroid adenoma (FTA). Additionally, this current study compared the performance of CNN models wi...
Diagnosis, Differential Adenocarcinoma, Follicular Thyroid Neoplasms Ultrasonography ROC Curve Aged Humans Deep Learning Adult Convolutional Neural Networks Thyroid Gland Male Middle Aged Neural Networks, Computer Retrospective Studies Female
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Enhancing student success prediction in higher education with swarm optimized enhanced efficientNet attention mechanism.

PloS one Jun 30, 2025
Predicting student performance is crucial for providing personalized support and enhancing academic performance. Advanced machine-learning approaches are being used to understand student performance variables as educational data grows. A big dataset ...
Academic Performance Academic Success Students Convolutional Neural Networks China Humans Machine Learning Algorithms
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A hybrid approach for EEG motor imagery classification using adaptive margin disparity and knowledge transfer in convolutional neural networks.

Computers in biology and medicine Jun 29, 2025
- Motor Imagery (MI) using Electroencephalography (EEG) is essential in Brain-Computer Interface (BCI) technology, enabling interaction with external devices by interpreting brain signals. Recent advancements in Convolutional Neural Networks (CNNs) h...
Humans Signal Processing, Computer-Assisted Brain-Computer Interfaces Imagination Neural Networks, Computer Convolutional Neural Networks Electroencephalography
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Spindle Autoencoder-CNN hybrid model for cardiac arrhythmia classification.

Computers in biology and medicine Jun 20, 2025
Cardiac arrhythmias, characterized by irregular heart function, disrupt normal blood circulation and are commonly detected using electrocardiograms (ECGs). ECG is widely preferred due to its cost-effectiveness, ease of application, and high reliabili...
Arrhythmias, Cardiac Autoencoder Convolutional Neural Networks Humans Electrocardiography Neural Networks, Computer Signal Processing, Computer-Assisted Databases, Factual Deep Learning
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BrainTract: segmentation of white matter fiber tractography and analysis of structural connectivity using hybrid convolutional neural network.

Neuroscience Jun 19, 2025
Tractography uses diffusion Magnetic Resonance Imaging (dMRI) to noninvasively reconstruct brain white matter (WM) tracts, with Convolutional Neural Network (CNNs) like U-Net significantly advancing accuracy in medical image segmentation. This work p...
Neural Pathways Diffusion Tensor Imaging Convolutional Neural Networks Image Processing, Computer-Assisted White Matter Algorithms Brain Humans Neural Networks, Computer
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Morphological characterization of median nerve and transverse carpal ligament from ultrasound images using convolutional neural networks.

Medical engineering & physics Jun 18, 2025
OBJECTIVES: The purpose of this study was to automatically segment and quantify the median nerve and carpal arch from ultrasound images using convolutional neural network (CNN).
Ligaments Carpal Tunnel Syndrome Ultrasonography Image Processing, Computer-Assisted Median Nerve Neural Networks, Computer Female Adult Male Middle Aged Convolutional Neural Networks Humans
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Optimizing beat-wise input for arrhythmia detection using 1-D convolutional neural networks: A real-world ECG study.

Computer methods and programs in biomedicine Jun 18, 2025
BACKGROUNDS AND OBJECTIVES: Cardiac arrhythmias, characterized by irregular heartbeats, are difficult to diagnose in real-world scenarios. Machine learning has advanced arrhythmia detection; however, the optimal number of heartbeats for precise class...
Humans Arrhythmias, Cardiac Convolutional Neural Networks Neural Networks, Computer Telemedicine Electrocardiography Machine Learning Signal Processing, Computer-Assisted Algorithms
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DeepRice6mA: A convolutional neural network approach for 6mA site prediction in the rice Genome.

PloS one Jun 18, 2025
As one of the most critical post-replication modifications, N6-methylation (6mA) at adenine residue plays an important role in a variety of biological functions. Existing computational methods for identifying 6mA sites across large genomic regions te...
Oryza ROC Curve Adenine Computational Biology Neural Networks, Computer Genome, Plant DNA Methylation Deep Learning Convolutional Neural Networks
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Hyperspectral-driven PSO-SVM model and optimized CNN-LSTM-Attention fusion network for qualitative and quantitative non-destructive detection of adulteration in strong-aroma Baijiu.

Food chemistry Jun 17, 2025
Baijiu adulteration practices, driven by profit motives, seriously endanger consumer health and disrupt the market. This study combined hyperspectral imaging with deep learning for adulteration detection. In the classification of authentic and adulte...
Deep Learning Quality Control Hyperspectral Imaging Alcoholic Beverages Particle Swarm Optimization Convolutional Neural Networks Support Vector Machine Odorants
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A Robust Residual Three-dimensional Convolutional Neural Networks Model for Prediction of Amyloid-β Positivity by Using FDG-PET.

Clinical nuclear medicine Jun 17, 2025
BACKGROUND: Widely used in oncology PET, 2-deoxy-2- 18 F-FDG PET is more accessible and affordable than amyloid PET, which is a crucial tool to determine amyloid positivity in diagnosis of Alzheimer disease (AD). This study aimed to leverage deep lea...
Humans Neural Networks, Computer Female Aged Alzheimer Disease Positron-Emission Tomography Fluorodeoxyglucose F18 Convolutional Neural Networks Aged, 80 and over Imaging, Three-Dimensional Male Amyloid beta-Peptides Middle Aged
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