AIMC Topic: Convolutional Neural Networks

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Gradual poisoning of a chest x-ray convolutional neural network with an adversarial attack and AI explainability methods.

Scientific reports Jul 1, 2025
Given artificial intelligence's transformative effects, studying safety is important to ensure it is implemented in a beneficial way. Convolutional neural networks are used in radiology research for prediction but can be corrupted through adversarial...
Pneumonia Radiography, Thoracic Artificial Intelligence Convolutional Neural Networks Humans Neural Networks, Computer
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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...
ROC Curve Diagnosis, Differential Adenocarcinoma, Follicular Thyroid Gland Thyroid Neoplasms Ultrasonography Aged Adult Male Middle Aged Deep Learning Convolutional Neural Networks Neural Networks, Computer Retrospective Studies Female Humans
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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 ...
China Academic Performance Humans Academic Success Algorithms Machine Learning Students Convolutional Neural Networks
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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...
Humans Neural Networks, Computer Image Processing, Computer-Assisted White Matter Algorithms Brain Convolutional Neural Networks Neural Pathways Diffusion Tensor Imaging
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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...
Convolutional Neural Networks ROC Curve Computational Biology DNA Methylation Oryza Adenine Neural Networks, Computer Deep Learning Genome, Plant
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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...
Aged Aged, 80 and over Male Humans Neural Networks, Computer Female Fluorodeoxyglucose F18 Amyloid beta-Peptides Alzheimer Disease Middle Aged Positron-Emission Tomography Convolutional Neural Networks Imaging, Three-Dimensional
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Arrhythmia classification based on multi-input convolutional neural network with attention mechanism.

PloS one Jun 17, 2025
Arrhythmia is a prevalent cardiac disorder that can lead to severe complications such as stroke and cardiac arrest. While deep learning has advanced automated ECG analysis, challenges remain in accurately classifying arrhythmias due to signal variabi...
Arrhythmias, Cardiac Algorithms Convolutional Neural Networks Humans Databases, Factual Electrocardiography Neural Networks, Computer Deep Learning Signal Processing, Computer-Assisted
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FFLUNet: Feature Fused Lightweight UNet for brain tumor segmentation.

Computers in biology and medicine Jun 14, 2025
Brain tumors, particularly glioblastoma multiforme, are considered one of the most threatening types of tumors in neuro-oncology. Segmenting brain tumors is a crucial part of medical imaging. It plays a key role in diagnosing conditions, planning tre...
Software Validation Magnetic Resonance Imaging Glioblastoma Image Interpretation, Computer-Assisted Humans Brain Neoplasms Deep Learning Convolutional Neural Networks Image Processing, Computer-Assisted
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Investigating methods to enhance interpretability and performance in cardiac MRI for myocardial scarring diagnosis using convolutional neural network classification and One Match.

PloS one Jun 9, 2025
Machine learning (ML) classification of myocardial scarring in cardiac MRI is often hindered by limited explainability, particularly with convolutional neural networks (CNNs). To address this, we developed One Match (OM), an algorithm that builds on ...
Male Algorithms Heart Magnetic Resonance Imaging Image Interpretation, Computer-Assisted Female Middle Aged Humans Cicatrix Convolutional Neural Networks Aged Myocardium Neural Networks, Computer Machine Learning
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Validation of simulated training sets using a convolutional neural network for isotope identification in urban environments.

PloS one Jun 9, 2025
Real-time isotope identification in urban environments can aid law enforcement by providing additional information about the nature of a potential threat. Neural networks have shown promise in isotope identification but the large range of potential i...
Computer Simulation Convolutional Neural Networks Neural Networks, Computer Isotopes Cities
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